WO2020018892A1 - Methods and apparatus for improved signal robustness for a wearable neuromuscular recording device - Google Patents
Methods and apparatus for improved signal robustness for a wearable neuromuscular recording device Download PDFInfo
- Publication number
- WO2020018892A1 WO2020018892A1 PCT/US2019/042579 US2019042579W WO2020018892A1 WO 2020018892 A1 WO2020018892 A1 WO 2020018892A1 US 2019042579 W US2019042579 W US 2019042579W WO 2020018892 A1 WO2020018892 A1 WO 2020018892A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- electrode
- housing
- sensing device
- wearable
- wearable bioelectrical
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims description 29
- 230000002232 neuromuscular Effects 0.000 title abstract description 106
- 230000033001 locomotion Effects 0.000 claims description 43
- 238000013519 translation Methods 0.000 claims description 5
- 239000006260 foam Substances 0.000 claims description 3
- 238000007373 indentation Methods 0.000 claims description 3
- 229920001084 poly(chloroprene) Polymers 0.000 claims description 2
- 230000008878 coupling Effects 0.000 claims 2
- 238000010168 coupling process Methods 0.000 claims 2
- 238000005859 coupling reaction Methods 0.000 claims 2
- 238000005381 potential energy Methods 0.000 abstract description 7
- 210000003205 muscle Anatomy 0.000 description 19
- 150000003071 polychlorinated biphenyls Chemical class 0.000 description 15
- 238000005516 engineering process Methods 0.000 description 12
- 230000004913 activation Effects 0.000 description 10
- 230000000694 effects Effects 0.000 description 10
- 230000004118 muscle contraction Effects 0.000 description 10
- 230000008859 change Effects 0.000 description 9
- 238000012545 processing Methods 0.000 description 9
- 239000000463 material Substances 0.000 description 8
- 230000001537 neural effect Effects 0.000 description 8
- 210000000707 wrist Anatomy 0.000 description 8
- 238000002567 electromyography Methods 0.000 description 6
- 210000001087 myotubule Anatomy 0.000 description 6
- 239000000853 adhesive Substances 0.000 description 5
- 230000001070 adhesive effect Effects 0.000 description 5
- 230000003321 amplification Effects 0.000 description 5
- 210000004209 hair Anatomy 0.000 description 5
- 238000003199 nucleic acid amplification method Methods 0.000 description 5
- 230000007423 decrease Effects 0.000 description 4
- 210000001503 joint Anatomy 0.000 description 4
- 210000003169 central nervous system Anatomy 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000008602 contraction Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000000499 gel Substances 0.000 description 3
- 210000002161 motor neuron Anatomy 0.000 description 3
- 210000002346 musculoskeletal system Anatomy 0.000 description 3
- 238000009877 rendering Methods 0.000 description 3
- 230000004075 alteration Effects 0.000 description 2
- 230000000712 assembly Effects 0.000 description 2
- 238000000429 assembly Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 229920001971 elastomer Polymers 0.000 description 2
- 238000002593 electrical impedance tomography Methods 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 239000000017 hydrogel Substances 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000005060 rubber Substances 0.000 description 2
- 210000002027 skeletal muscle Anatomy 0.000 description 2
- 210000004872 soft tissue Anatomy 0.000 description 2
- 238000005476 soldering Methods 0.000 description 2
- 210000001519 tissue Anatomy 0.000 description 2
- 229920002943 EPDM rubber Polymers 0.000 description 1
- 244000043261 Hevea brasiliensis Species 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000003190 augmentative effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 210000005056 cell body Anatomy 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000000593 degrading effect Effects 0.000 description 1
- 230000002939 deleterious effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000011143 downstream manufacturing Methods 0.000 description 1
- 230000004064 dysfunction Effects 0.000 description 1
- 230000002500 effect on skin Effects 0.000 description 1
- 210000003414 extremity Anatomy 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 229920001821 foam rubber Polymers 0.000 description 1
- 239000011810 insulating material Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000025350 membrane depolarization involved in regulation of action potential Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000037023 motor activity Effects 0.000 description 1
- 229920003052 natural elastomer Polymers 0.000 description 1
- 229920001194 natural rubber Polymers 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- 230000010399 physical interaction Effects 0.000 description 1
- 229920000915 polyvinyl chloride Polymers 0.000 description 1
- 239000004800 polyvinyl chloride Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 210000000063 presynaptic terminal Anatomy 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 210000000323 shoulder joint Anatomy 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 229920002379 silicone rubber Polymers 0.000 description 1
- 239000004945 silicone rubber Substances 0.000 description 1
- 210000002363 skeletal muscle cell Anatomy 0.000 description 1
- 210000000278 spinal cord Anatomy 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 229920003051 synthetic elastomer Polymers 0.000 description 1
- 239000005061 synthetic rubber Substances 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 210000002435 tendon Anatomy 0.000 description 1
- 229920001169 thermoplastic Polymers 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/04—Constructional details of apparatus
- A61B2560/0406—Constructional details of apparatus specially shaped apparatus housings
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/04—Arrangements of multiple sensors of the same type
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
- A61B5/02438—Measuring pulse rate or heart rate with portable devices, e.g. worn by the patient
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
Definitions
- Neuromuscular signals arising from the human central nervous system may reflect neural activation that results in the contraction of one or more muscles in the human body.
- Neuromuscular recording sensors placed on the surface of the human body record neuromuscular activity produced when skeletal muscle cells are activated.
- the neuromuscular activity measured by neuromuscular recording sensors may result from neural activation, muscle excitation, muscle contraction, or a combination of the neural activation and muscle excitation and contraction.
- Signals recorded by neuromuscular recording sensors are routinely used to assess neuromuscular dysfunction in patients with motor control disorders and have been used in some applications as control signals for devices such as prosthetic limbs.
- High quality surface electromyography (sEMG) signals are typically acquired from wet electrodes in a laboratory setting using skin preparations that require application of a gel or paste at the electrode- skin interface to improve the conductivity between the skin and the electrodes.
- Coordinated movements of skeletal muscles in the human body that collectively result in the performance of a motor task originate with neural signals arising in the central nervous system.
- the neural signals travel from the central nervous system to muscles via spinal motor neurons, each of which has a cell body in the spinal cord and axon terminals on one or more muscle fibers.
- spinal motor neurons each of which has a cell body in the spinal cord and axon terminals on one or more muscle fibers.
- a spinal motor neuron and the muscle fiber(s) it innervates are collectively referred to as a“motor unit.”
- Muscles typically include muscle fibers from hundreds of motor units and simultaneous contraction of muscle fibers in multiple motor units is usually required for muscle contraction that results in movement and forces in the musculoskeletal system.
- Neuromuscular recording sensors such as EMG sensors record biological signals that result in motor activity, such as contraction of a muscle.
- the biological signals recorded relate to the generation of action potentials in motor units, though the signals are dominated by signals originating from muscle fibers.
- Some embodiments are directed to analyzing neuromuscular signals to identify patterns of activation associated with sub-muscular biological structures (e.g., individual motor units or groups of motor units). Control signals determined based on activation of muscle groups or sub-muscular structures may be used to control the operation of devices.
- a wearable bioelectrical sensing device comprises a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode.
- the wearable bioelectrical sensing device further comprises a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrode being configured to rotate relative to the first housing from a starting position to a rotated position, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being configured to rotate relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user.
- the wearable bioelectrical sensing device further comprises a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing, a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing, and a spring element configured to bias the first electrode toward the starting position of the first electrode.
- a wearable bioelectrical sensing device comprises a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode.
- the wearable bioelectrical sensing device further comprises a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrodes being movable relative to the first housing with at least one degree of freedom such that each of the first electrode and second electrode is movable from a starting position to a different position relative to the first housing.
- the wearable bioelectrical sensing device further comprises a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being movable relative to the second housing with at least one degree of freedom such that each of the third electrode and the fourth electrode is movable from a starting position to a different position relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user.
- the wearable bioelectrical sensing device further comprises, a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing, a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing, and a spring element configured to bias the first electrode toward the starting position of the first electrode.
- the method comprises wearing the wearable bioelectrical sensing device to contact a first electrode, a second electrode, a third electrode, and a fourth electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, and rotating the first electrode relative to the first housing from a starting position to a rotated position while keeping the first electrode in contact with the skin throughout the rotation.
- a method of using a wearable bioelectrical sensing device comprises wearing the wearable bioelectrical sensing device to contact a first electrode, a second electrode, a third electrode, and a fourth electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, and moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.
- a wearable device including a first electrode and a first housing containing at least a portion of the first electrode.
- the first electrode is configured to rotate relative to the first housing from a starting position to a rotated position.
- the wearable device also includes a band that is coupled to the first housing and is configured to be worn by a user.
- a wearable device including a first electrode and a first housing containing at least a portion of the first electrode.
- the first electrode is movable relative to the first housing with at least two degrees of freedom such that the first electrode is movable from a starting position to a different position relative to the first housing.
- the wearable device also includes a band that is coupled to the first housing and is configured to be worn by a user.
- a method of using a wearable device including: wearing a band to contact a first electrode with skin, where a first housing is coupled to the band and the first housing contains at least a portion of the first electrode, and rotating the first electrode relative to the first housing from a starting position to a rotated position.
- a method of using a wearable device including: wearing a band to contact a first electrode with skin, where a first housing is coupled to the band and the first housing contains at least a portion of the first electrode, and moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.
- FIG. 1 is a schematic diagram of components of a neuromuscular recording system in accordance with some embodiments of the technology described herein;
- FIG. 2 illustrates a wristband having neuromuscular recording sensors arranged circumferentially thereon, in accordance with some embodiments of the technology described herein;
- FIG. 3 illustrates a user wearing the wristband of FIG. 2 while typing on a keyboard, in accordance with some embodiments of the technology described herein;
- FIG. 4 depicts an illustrative embodiment of an neuromuscular recording sensor having moveable electrodes, according to some embodiments;
- FIG. 5 depicts a cross-sectional view of the sensor shown in FIG. 4 along the X-Z plane, with the moveable electrode shown in three different positions;
- FIG. 6A depicts a perspective section view of the sensor shown in FIG. 4;
- FIG. 6B depicts the neuromuscular recording sensor of FIG. 6A with the electrodes shown in phantom;
- FIG. 7A depicts an illustrative embodiment of a neuromuscular recording sensor according to an alternative embodiment
- FIG. 7B depicts a cross-sectional view of the neuromuscular recording sensor shown in FIG. 7 A;
- FIG. 8A depicts an illustrative embodiment of an electrode for neuromuscular recording sensor according to an alternative embodiment
- FIG. 8B depicts a cross-sectional view of the neuromuscular recording sensor shown in FIG. 8A;
- FIG. 9A illustrates a wearable system with sixteen neuromuscular recording sensors arranged circumferentially around an elastic band configured to be worn around a user’s lower arm or wrist, in accordance with some embodiments of the technology described herein;
- FIG. 9B is a cross-sectional view through one of the sixteen neuromuscular recording sensors illustrated in FIG. 9A;
- FIGS. 10A and 10B schematically illustrate components of a computer-based system on which some embodiments are implemented.
- FIG. 10A illustrates a wearable portion of the computer-based system and
- FIG. 10B illustrates a dongle portion connected to a computer, wherein the dongle portion is configured to communicate with the wearable portion;
- FIG. 11A shows a cross-sectional view through a neuromuscular recording sensor and its associated sensor housing, in accordance with some embodiments of the technology described herein;
- FIG. 11B shows a cross-sectional view through a plurality of neuromuscular recording sensors coupled via hinge structures, in accordance with some embodiments of the technology described herein.
- Obtaining consistent high-quality neuromuscular (e.g., sEMG) signals using neuromuscular recording (e.g., sEMG) electrodes and conventional signal processing techniques is challenging, in part due to the difficulty of maintaining sufficient contact between a neuromuscular recording electrode and a moving body surface, e.g., skin.
- the sensors may include a plurality of neuromuscular recording sensors configured to detect signals arising from neuromuscular activity in skeletal muscle of a human body.
- the term“neuromuscular activity” as used herein refers to neural activation of spinal motor neurons that innervate a muscle, muscle activation, muscle contraction, or any combination of neural activation, muscle activation, and muscle contraction.
- neuromuscular recording sensors may be used to sense sub-muscular activity associated with a sub-muscular structure (e.g., a motor unit or set of motor units).
- neuromuscular signals may be used to derive control signals for machine control, to create an immersive rendering of a virtual hand (e.g., a rendering of the user’s‘handstate’), or other applications.
- consistent and high-quality neuromuscular signals e.g., high signal-to-noise ratio (SNR), consistent noise characteristics in the frequency-domain, etc.
- SNR signal-to-noise ratio
- motion artifacts may cause an epoch of recorded data to be unsatisfactory or unusable (e.g., on one or more channels of a neuromuscular recording sensor array) due to the magnitude of the artifact being larger than the biological signals of interest.
- Motion artifacts may change the baseline (e.g., direct current level) of a recording.
- motion artifacts may cause an amplifier in a neuromuscular recording system to saturate, rendering the underlying biological signal completely unresolvable.
- neuromuscular recording electrodes are held in contact against a body surface (e.g., skin).
- a body surface e.g., skin
- motion artifacts may be generated.
- an electrode may partially or fully lift off of the skin due to movement of a wearable neuromuscular recording device and/or conformational changes in a user’s body due to movement, muscle contraction, or other reason.
- Motion artifacts may also be generated from a change in the pressure between electrode and skin, a change of the orientation (e.g., an angle as parametrized by pitch, yaw, and roll) of an electrode relative to the skin, a translation of the electrode (e.g., a change in the position of the electrode on the skin), or a conformational change in the tissue underlying the electrode due to a muscle contraction, movement, or other reason.
- a change in the pressure between electrode and skin e.g., a change of the orientation (e.g., an angle as parametrized by pitch, yaw, and roll) of an electrode relative to the skin, a translation of the electrode (e.g., a change in the position of the electrode on the skin), or a conformational change in the tissue underlying the electrode due to a muscle contraction, movement, or other reason.
- Dry biosensor electrodes that interface mechanically with skin for recording neuromuscular activity are preferred relative to electrodes that require the use of adhesive and/or conductive gels (i.e.,‘wet electrodes’).
- dry electrodes require less set up time, can be re-used numerous times without degrading signal quality, and provide a more pleasant user experience due to the absence of residue on the skin after an electrode has been removed.
- the inventors have appreciated that dry electrodes or those that interface with a body surface without the use of adhesive and/or conductive gels are susceptible to signal variations - in part due to several kinds of motion artifacts - that make downstream processing of biological signals challenging.
- the neuromuscular recording sensors may interface with a part of the body that changes in size and cross-section during muscle contractions, or the electrodes may be integrated in a wearable form factor that shifts relative to the skin due to movements and forces of a user’s musculoskeletal system.
- the electrodes may lift off of the body part surface (fully or partially), become further pressed into the surface (possibly changing the impedance of the skin-electrode contact), shift laterally across the skin, or otherwise experience a change in the recording contact with the skin.
- variable pressure across electrodes can cause inaccuracies and motion artifacts.
- an electrode lifting off the body surface may permit electrical line noise (e.g., 50 Hz or 60 Hz noise) to completely infiltrate the signal, reducing the fidelity of the neuromuscular recordings.
- the inventors have also recognized that body hair can contribute to reduced quality of neuromuscular recordings because hair between the electrode surface and the skin is not conductive, which may have one or more deleterious effects on the quality of neuromuscular signals, including: increased noise (e.g., electrical line noise) and a propensity for exacerbated motion artifacts when the hairs between an electrode and the skin shift or otherwise change in position and/or composition.
- increased noise e.g., electrical line noise
- a wearable neuromuscular recording apparatus mechanically coupled to a neuromuscular recording sensor (e.g., an sEMG electrode) may impart an inertial moment at the electrode- skin interface and can likewise cause motion artifacts in the recorded neuromuscular signals.
- a neuromuscular recording sensor e.g., an sEMG electrode
- the inventors have also recognized that large artifacts and shifts in the baseline of a signal often dictate choice of an amplifier gain and filter components such that the amplifier will not saturate and/or will recover quickly. Reducing motion artifacts, electrode contact issues, 50 or 60 Hz noise, and amplifier saturation allows for more flexibility in the choice of circuit components and allows for use of a larger portion of the ADC (analog digital converter) dynamic range for biosignal recording, resulting in finer resolution/precision in the neuromuscular (e.g., sEMG) signal output from a recording system such as that shown in FIG. 1 and FIGS. 10A-B.
- ADC analog digital converter
- wet contact electrodes containing a hydrogel or other conductive material at the dermal surface are often used in combination with adhesive pads for signal stability.
- the inventors have appreciated that these electrodes can be time consuming to apply and are usually single use due to the degradation of the hydrogel (or other‘wet’) interface and adhesive due to dirt and oils on the skin.
- semi-dry electrodes are used instead of wet contact electrodes.
- the inventors have appreciated that, while semi-dry electrodes are not typically applied with adhesive and may be multi-use, they may require maintenance, proper storage, and can be less durable than a dry electrode.
- the inventors have thus recognized the need for an arrangement that provides improved contact between electrodes for neuromuscular and other biosignal recording and a user’s body surface.
- the systems and methods described herein may be used for any bioelectrical surface recording, including neuromuscular recordings (e.g., electromyography, electrical impedance tomography) and other biosignal recordings.
- FIG. 1 schematically depicts components of an illustrative neuromuscular recording system 100, in accordance with some embodiments.
- System 100 includes a pair of neuromuscular recording (e.g., dry sEMG) electrodes 110.
- neuromuscular recording e.g., dry sEMG
- EMG neuromuscular recording
- electrodes 110 may be arranged as a portion of a wearable device configured to be worn on or around a part of a user’s body.
- a plurality of neuromuscular recording sensors including
- neuromuscular recording electrodes e.g., electrodes 110
- an adjustable and/or elastic band such as a wristband or armband configured to be worn around a user’s wrist or arm.
- at least some of the neuromuscular recording sensors may be arranged on a wearable patch configured to be affixed to a portion of the user’s body.
- neuromuscular recording electrodes are typically small (pV to mV) and amplification of the signals recorded by the neuromuscular recording electrodes is typically desired.
- neuromuscular recording (e.g., dry sEMG) electrodes 110 are coupled to amplification circuitry 112, configured to amplify the neuromuscular signals recorded by the electrodes.
- the output of the amplification circuitry 112 is provided to analog-to-digital converter (ADC) circuitry 114, which converts the amplified neuromuscular signals to digital signals for further processing by microprocessor 116.
- ADC analog-to-digital converter
- Microprocessor 116 may be implemented by one or more hardware processors.
- the processed signals output from microprocessor 116 may be interpreted by host machine 120, examples of which include, but are not limited to, a desktop computer, a laptop computer, a smartwatch, a smartphone, or any other computing device.
- host machine 120 may be configured to output one or more control signals for controlling a physical or virtual device based, at least in part, on an analysis of the signals output from microprocessor 116.
- neuromuscular recording system 100 also includes sensors 118, which may be configured to record types of information about a state of a user other than neuromuscular information.
- sensors 118 may include, but are not limited to, temperature sensors configured to measure skin/electrode temperature, inertial measurement unit (IMU) sensors configured to measure movement information such as rotation and acceleration, humidity sensors, heart-rate monitor sensors, camera and video input, and other bio-chemical sensors configured to provide information about the user and/or the user’s environment.
- IMU inertial measurement unit
- sixteen neuromuscular recording sensors including neuromuscular recording (e.g., dry sEMG) electrodes are arranged circumferentially around an elastic band configured to be worn around a body part, such as a user’s lower arm.
- FIG. 2 shows neuromuscular recording sensors 504 coupled to a band 502, which may be an elastic band. The sensors may be arranged circumferentially around the band.
- any suitable number of neuromuscular recording sensors having any suitable number of neuromuscular recording (e.g., dry sEMG) electrodes may be used and the number and arrangement of sensors/electrodes may depend on the particular application for which the wearable device is used.
- some of the neuromuscular recording sensors 504 include two neuromuscular recording electrodes 600 and 602, whereas others of the
- neuromuscular recording sensors 504 include three neuromuscular recording electrodes 600, 602, and 604, with the middle of the three electrodes being a ground or reference electrode.
- the ground electrode may be included on one or more of the neuromuscular recording sensors 504 to, for example, further bias the skin potential and/or to filter out noise.
- Each of the sensors 504 may include a sensor housing 510.
- FIG. 3 shows a user 506 wearing elastic band 502 on hand 508.
- neuromuscular recording sensors 504 may be configured to record neuromuscular signals as a user controls keyboard 519 using fingers 511.
- FIG. 9A shows an alternate configuration of a wearable bioelectrical recording system with sixteen neuromuscular recording sensors 910 (e.g., sEMG sensors) arranged circumferentially around an elastic band 920 configured to be worn around a user's lower arm or wrist in accordance with some embodiments.
- neuromuscular recording sensors 910 are arranged circumferentially around elastic band 920. It should be appreciated that any suitable number of neuromuscular recording sensors may be used. The number and arrangement of neuromuscular recording sensors may depend on the particular application for which the wearable system is used.
- a wearable armband or wristband can be used to generate control information for controlling an augmented reality system, a robot, controlling a vehicle, scrolling through text, controlling a virtual avatar, or any other suitable control task.
- the sensors may be coupled together using flexible electronics incorporated into the wireless device, FIG. 9B illustrates a cross-sectional view through one of the sensors of the wearable system shown in FIG. 9 A.
- the output of one or more of the sensing components can be optionally processed using hardware signal processing circuitry (e.g., to perform amplification, filtering, and/or rectification).
- hardware signal processing circuitry e.g., to perform amplification, filtering, and/or rectification
- at least some signal processing of the output of the sensing components can be performed in software.
- signal processing of signals sampled by the sensors can be performed in hardware, software, or by any suitable combination of hardware and software, as aspects of the technology described herein are not limited in this respect.
- a non-limiting example of a signal processing chain used to process recorded data from sensors 910 are discussed in more detail below with reference to FIGS. 10A and 10B.
- FIGS. 10A and 10B illustrate a schematic diagram with internal components of a wearable system with sixteen sEMG sensors.
- the wearable system includes a wearable portion 1010 (FIG. 10 A) and a dongle portion 1020 (FIG. 10B) in
- the wearable portion 1010 includes sensors 910, examples of which are described in connection with FIGS. 9A and 9B.
- the output of the sensors 910 is provided to analog front end 1030 configured to perform analog processing (e.g., noise reduction, filtering, etc.) on the recorded signals.
- the processed analog signals are then provided to analog-to-digital converter 1032, which converts the analog signals to digital signals that can be processed by one or more computer processors.
- An example of a computer processor that may be used in accordance with some embodiments is microcontroller (MCU) 1034 illustrated in FIG. 10A.
- MCU microcontroller
- MCU 1034 may also include inputs from other sensors (e.g., IMU sensor 1040), and power and battery module 1042.
- the output of the processing performed by MCU may be provided to antenna 1050 for transmission to dongle portion 1020 shown in FIG. 10B.
- Dongle portion 1020 includes antenna 1052 configured to communicate with antenna 1050 included as part of wearable portion 1010. Communication between antenna 1050 and 1052 may occur using any suitable wireless technology and protocol, non-limiting examples of which include radiofrequency signaling and Bluetooth. As shown, the signals received by antenna 1052 of dongle portion 1020 may be provided to a host computer for further processing, display, and/or for effecting control of a particular physical or virtual object or objects.
- FIGS. 9A, 9B and FIGS. 10A, 10B are discussed in the context of interfaces with EMG sensors, it is understood that the techniques described herein for reducing electromagnetic interference can also be implemented in wearable interfaces with other types of sensors including, but not limited to, mechanomyography (MMG) sensors, sonomyography (SMG) sensors, and electrical impedance tomography (EFT) sensors.
- MMG mechanomyography
- SMG sonomyography
- EFT electrical impedance tomography
- a group of muscles necessary to perform the motor task is activated.
- the motor task is performed while the user is wearing a wearable device that includes neuromuscular recording sensors
- the neuromuscular signals recorded by the sensors on the surface of the body correspond to superimposed and spatiotemporally filtered activity of all motor units in the muscles in the group activated during performance of the motor task.
- the neuromuscular signals may be analyzed and mapped to control signals to control a device based on the type of movement, pose, force, or gesture that the user performs.
- a corresponding control signal to select an object in a user interface may be generated.
- the mapping between sensor signals and control signals may be implemented, for example, using an inferential model trained to associate particular sensor signal inputs with control signal outputs.
- the output of the trained inferential model may be musculoskeletal position information that describes, for example, the positions and/or forces of elements in a computer-implemented musculoskeletal model.
- the musculoskeletal model may be updated with predictions of the musculoskeletal position information (e.g., joint angles and/or forces) output from the inferential model. Control signals may then be generated based on the updated musculoskeletal position information.
- the output of the trained inferential model may be the control information itself, such that a separate musculoskeletal model is not used.
- neuromuscular e.g., sEMG
- body surface e.g., skin
- some embodiments described herein are directed to a neuromuscular recording sensor having electrodes that are moveable relative to the sensor housing to permit the electrodes to remain in contact with the body surface as the body portion changes conformation and/or the sensor housing moves relative to the body surface (e.g., due to a user moving their arm about their shoulder joint to wave and causing inertial forces on the housing of the neuromuscular recording sensor(s) to translate the position of an electrode relative to a portion of the surface of the user’s body (e.g., skin)).
- the electrodes may be configured in an assembly that permits them to rotate relative to the sensor housing.
- the electrodes may be configured in an assembly that permits them to rotate and translate relative to the sensor housing.
- the electrodes may have at least two, at least three, at least four, at least five, or six degrees of freedom relative to the sensor housing.
- the electrode may translate along three perpendicular axes (i.e., in three dimensions) and rotate about two of these axes relative to the sensor housing.
- an electrode may have three degrees of freedom comprising rotation about three axes (i.e. pitch, yaw, and roll).
- an electrode for neuromuscular recording configured in a wearable assembly or housing may rotate in any or all of the three translational axes (i.e. translating laterally along the skin in two dimensions or vertically as the skin position moves in the vertical plane relative to the housing of the neuromuscular recording system) and/or in any or all of the rotational axes (pitch, yaw, and roll).
- the electrodes may have a starting position in which at least a portion of the electrodes extend out of an opening of the housing, and the electrodes may be configured to move inwardly into the housing through the opening during application of force upon the electrodes.
- the electrodes and the housing may each be shaped to cooperate with one another to permit movement of the electrodes and to guide the electrode toward a starting position in which the electrode is seated within the housing when the contact force applied to the electrode is removed.
- the electrodes may be free of attachments from the sensor housing, allowing the electrodes to move relative to the housing. In other embodiments, however, the electrodes may be physically attached to the housing, but with slack and/or elasticity in the attachment arrangement (e.g., via a spring) to permit movement of the electrodes relative to the housing.
- a neuromuscular (e.g., sEMG) electrode also referred to herein as a sensor) arrangement includes a spring element that biases the neuromuscular electrode to press against the body surface when the neuromuscular recording system that contains the neuromuscular electrode is worn by a user.
- the spring element may be configured to bias the electrode in a starting position in which the electrode extends outwardly from the sensor housing, while permitting the electrode to move inwardly into the housing upon application of sufficient force against the electrode.
- the neuromuscular recording sensor 504 includes dry electrodes 600, 602 and a housing 510, which may be made up of an upper housing 512 and a lower housing 516.
- the electrodes 600, 602 are moveable relative to the housing 510. In the embodiment shown in FIG. 4, the electrodes are free from attachment to the housing.
- the sensor housing 510 defines an opening 517 through which the electrode extends and/or moves through.
- the sensor includes a spring element 530 to bias the electrodes 600, 602 in a stationary starting position relative to the housing. At least a portion of the spring element may be contained within the housing 510.
- the inventors have recognized that other materials that function as a spring may be used instead of or in addition to the spring element 530. For example, a foam component may be positioned above the electrode within the housing.
- a force is applied to the electrodes 600, 602, e.g., due to contact of skin against the electrodes, the electrodes move relative to the housing, e.g. by rotating, translating, or both. Movement of the electrodes relative to the housing compresses the spring element 530, causing the spring element to store potential energy.
- the spring element releases the stored potential energy and decompresses, pushing the electrodes back toward their starting positions.
- the electrodes 600, 602 have five degrees of freedom relative to the housing 510.
- the electrodes can translate in the X, Y, and Z axes, and rotate about the X and Y axes.
- the vertical Z axis is oriented along the height of the sensor
- the Y axis is oriented along the depth of the sensor
- the X axis is oriented along the width of the sensor.
- the electrode has a longitudinal axis 200 that passes through a center of the electrode.
- the longitudinal axis 200 may bisect the electrode.
- the longitudinal axis is parallel to the Z axis when the electrode is in the starting position.
- the plane of the opening 517 is parallel with the X-Y plane
- an axis normal to the plane of the opening 517 is parallel with the Z axis and with the longitudinal axis 200 of the electrode.
- the electrode is configured to translate relative to the housing in a direction perpendicular to the plane of the opening of the housing. In some embodiments, the electrode is configured to translate relative to the housing in a direction parallel to the plane of the opening of the housing.
- the electrode is prohibited from rotation about the Z axis (yaw rotation). However, in other embodiments, the electrode is permitted to rotate about the Z axis.
- FIG. 5 illustrates a few examples of different positions to which an electrode 600 in an assembly configured according to some embodiments may move during use.
- the electrode At rest, without any contact forces being applied to the electrode, the electrode is in the starting position 620, in which the electrode extends through the opening 517 of the housing, where a portion of the electrode is positioned within the housing 510 and a portion of the electrode is positioned outside the housing.
- the portion of the electrode positioned outside the housing is larger than the portion of the electrode positioned inside the housing.
- the electrode in the starting position, is aligned with the opening of the housing such that the longitudinal axis 200 of the electrode is parallel to the plane of the opening 517. If the opening 517 has a midpoint, the longitudinal axis of the electrode may extend through the midpoint of the opening.
- the electrode may move into an intermediate position 621 in which a greater portion of the electrode is positioned within the housing 510 as compared to the starting position 620.
- the electrode is both rotated and raised relative to the original starting position 620.
- the electrode may move into a compressed position 622 in which an entirety of the electrode is positioned within the housing.
- the position 622 shown in FIG. 5 is a fully raised position such that the electrode cannot move any further into the housing.
- the electrode is able to move still further into the housing.
- a portion of the electrode remains outside the housing.
- Distance D shown in FIG. 5 is the distance of travel of the electrode from the starting position 620 to the compressed position 622.
- Distance D is also the distance from the bottom surface 680 of the electrode to the bottom surface 513 of the housing 510. In some embodiments, distance D is also the maximum travel distance of the electrode.
- the inventors recognize that larger values of D permit a larger range of motion of the electrode in the Z-dimension upon a force being exerted upon the electrode (e.g., due to a change in the relative force between the portion of a user’s body underlying the electrode and the housing of a wearable neuromuscular recording device that contains the electrode), while also enabling electrode contact to be maintained if the housing of the wearable neuromuscular recording apparatus is positioned such that a particular electrode of the apparatus is relatively far (e.g., having a distance ⁇ D) from the surface of the body (e.g., skin).
- a particular electrode of the apparatus is relatively far (e.g., having a distance ⁇ D) from the surface of the body (e.g., skin).
- the inventors have recognized that a larger value of D requires a larger housing for that section of the wearable neuromuscular recording device to permit movement of the electrode into the housing up to a distance of D.
- the inventors have recognized that the value of D should be selected to balance the various constraints listed above for a given form factor of a neuromuscular recording apparatus and portion of the body on which it is intended to be worn.
- different electrodes of a neuromuscular recording device may be configured with different values of D based on the expected range of motion required for that electrode given the form factor of the apparatus and the portion of the body on which it is meant to be worn.
- an apparatus for neuromuscular recording on the wrist may be configured with electrodes having a larger distance D for electrodes overlying the top and bottom of the wrist and a smaller distance D for electrodes overlying the sides of the wrist, because relative movement of tissue is generally larger at the top and bottom of the wrist where soft tissue (tendons, muscles, etc.) is present than for the side of the wrist where bones are present with less soft tissue.
- distance D may be at least about 0.01 mm, at least about 0.1 mm, at least about 1 mm, at least about 1.2 mm, at least about 1.4 mm, at least about 1.6 mm, at least about 1.8 mm, at least about 2 mm, at least about 2.2 mm, or at least about 2.4 mm. In some embodiments, distance D may be less than or equal to about 4 mm, less than or equal to about 3 mm, less than or equal to about 2.8 mm, less than or equal to about 2.6 mm, less than or equal to about 2.4 mm, less than or equal to about 2.2 mm, less than or equal to about 2 mm, or less than or equal to about 1.8 mm.
- the distance D may be about 1 mm to about 4 mm, or about 1.2 mm to about 3 mm, or about 1.4 mm to about 2.6 mm, or about 1.6 mm to about 2.4 mm, or about 1.8 mm to about 2.2 mm, or about 2 mm.
- the electrode must move a threshold distance in the Z direction along the height of the sensor (e.g. in a direction perpendicular to the plane of the opening into the housing) before the electrode is free to translate and rotate on the other two axes perpendicular to the Z axis. In other embodiments, no threshold distance is needed.
- the electrodes may be configured to contour to the body, e.g., by reaching into a valley or cleft between muscles and maintain contact while the user moves and contracts muscles in the body part to which the electrodes are coupled to, e.g., the arm.
- the inventors have recognized that the assemblies of neuromuscular recording devices that permit movement (e.g., translation and/or rotation) of one or more electrodes as described herein must have dynamics that are responsive (e.g., via appropriate selection of spring constants of materials) at the timescales of movement of the musculoskeletal system (e.g., hundreds of milliseconds to seconds).
- the electrode 600 has a contact surface 680 that is configured to make contact with the body surface, e.g., skin.
- the contact surface 680 may have a surface that is curved in a convex shape to help the electrode roll along the body surface during muscle movements to decrease sliding artifacts.
- the surface may be contoured in a variety of ways, such as to avoid hair, and to move with the skin.
- the surface of the electrode may have some sections that are concave or otherwise have a different curvature/contour to facilitate movement relative to the skin.
- an electrode rotates relative to the sensor housing.
- an electrode has at least two degrees of freedom relative to the sensor housing.
- the electrode may translate and rotate, or, the electrode may translate along two axes, or, the electrode may rotate about two axes.
- an electrode has at least two degree of freedom, or, at least three degrees of freedom, or at least four degrees of freedom, or at least five degrees of freedom, or six degrees of freedom relative to the housing.
- the senor includes a flexible circuit that permits movement of the electrode relative to the housing.
- the flexible circuit connects the electrodes together.
- a portion of the circuit includes one or more rigid printed circuit boards (“PCBs”) and a portion of the circuit includes one or more flexible PCBs.
- PCBs rigid printed circuit boards
- a rigid PCB is fixed to each of the electrodes, and the flexible PCBs connect the rigid PCBs to one another.
- the flexible PCB is also connected to each of the electrodes.
- body surface e.g., skin
- the senor 504 has a rigid PCB 545 and a flexible PCB 542 attached to the electrode 600 on the longer base 670 side of the electrode.
- the sensor 504 also includes another rigid PCB 544 in an upper portion of the sensor, above the spring element 530.
- the flexible PCB 542 may also connect to the upper rigid PCB 544.
- FIGS. 6A and 6B shows an example of how a flexible circuit may be used to connect the electrodes together.
- a rigid PCB 544 may be attached to each of the electrodes, and a flexible PCB 542 connects each of the rigid PCBs 544 together.
- the flexible PCB is also connected to each of the electrodes 600, 602, 604, with the flexible PCB between each of the electrodes and their associated rigid PCB.
- the flexible PCB also connects to an upper rigid PCB 544.
- the flexible PCB may include portions of slack 543 between the electrodes that allow for independent movement between the electrodes.
- the portions of slack may form a curved arc shape when each of the electrodes are in a starting position. When one electrode moves relative to another, the portions of slack may change conformation from a curved shape to more of a linear shape.
- the electrodes are manufactured as a single, monolithic piece of metal, and connected to the flexible circuit.
- the electrodes may be soldered to the flexible circuit using fabrication techniques such as wave or reflow soldering, or pin/socket connectorization.
- the electrodes 600, 602, 604 each include a socket 660.
- a pin 662 is passed through the socket of the electrode and through the rigid and flexible PCBs, connecting the electrodes to the PCBs.
- the electrode interacts with the spring element via a pin and socket relationship.
- the electrode may have a protruding post, and the spring element may have a socket that is sized to receive the post of the electrode.
- the diameter of the socket is larger than the diameter of the post such that there is some clearance around the post when the post sits within the socket.
- the diameter of the socket is equal to the diameter of the post.
- the diameter of the socket is smaller than the diameter of the post to create an interference fit between the socket and the post.
- the electrode 600 has a post 630 that is received within a socket 532 of the spring element.
- the post is integrally formed with the electrode as a single, monolithic component.
- a thermal relief is positioned between the electrode and the PCB.
- a thermal relief may be, for example, an indentation or cutout in a surface of an electrode.
- a thermal relief 640 is an indentation in the 670 surface of the electrode and is located between the electrode 600 and the PCBs 542 and 545.
- the thermal relief may be located at the surface of the electrode that faces the PCBs.
- the thermal relief may span across an area that is smaller than the area of overlap between the PCBs and the electrode, such that direct contact may be made between the electrode and the PCBs.
- the electrode and post is soldered to the PCBs of the circuit.
- the thermal relief 640 may help to dissipate heat from the soldering process to decrease the amount of heat that is transferred to the PCBs.
- movement of the electrode may cause the post to heat up, e.g. due to friction.
- the thermal relief 640 of the electrode may serve to dissipate the heat from the post to decrease the amount of heat that is transferred to the PCBs.
- spring element 530 may be made of an insulating material that absorbs heat from the post.
- a wearable device may incorporate a plurality of neuromuscular recording (e.g., sEMG) sensors having moveable electrodes.
- sEMG neuromuscular recording
- Each of the sensors may be electrically connected with one another.
- the housings of each of the sensors may be coupled to one another to form the wearable device.
- the housings of adjacent sensors may be attached to one another while remaining moveable relative to one another.
- the housings of adjacent sensors may have one, two, three, four, five, or six degrees of freedom relative to one another.
- the housings of adjacent sensors are attached to one another via a hinge and are free to pivot relative to one another.
- the housings of adjacent sensors are attached to one another via an elastic band and are free to pivot and translate relative to one another.
- adjacent sensor housings are attached to one another via joints 501.
- Sensors are connected to one another via joints to form a curveable array of sensors extending from a first end 410 to a second end 420.
- a band 502 may be used to connect the ends 410, 412 of the arc of sensors.
- the joints 501 between the sensors may have the ability to permit adjacent sensors to pivot relative to one another and/or be pulled away from one another.
- the band may form a complete loop that is coupled to the array of sensors, as best seen in FIG. 3.
- the band 502 may have elastic properties to create a biasing force that provides continuous pressure of the electrodes against the wearer’s body surface, e.g., the skin of the wearer’s arm. This continuous pressure provided by the elastic band is opposed by the biasing force provided by the spring elements in each of the sensors. The pressure of the electrodes against the body surface created by the elastic band may cause the electrodes of the sensors 504 to move relative to the sensor housings, causing the spring elements of the sensors to compress. As the wearer moves and/or contracts muscles in the body part on which the device is worn, the continuous pressure provided by the elastic band, along with the ability of the electrodes to move relative to the sensor housings with the moving skin, help to keep the electrodes in contact with the skin. In some embodiments, the housings themselves and the joints that connect them form a wearable device such that a separate band coupled to the housings is not required.
- the spring element 530 is a component that is capable of storing potential energy.
- the spring element is an elastically compressible block of material.
- Examples of possible materials for the spring element include, but are not limited to, neoprene, EPDM, foam, silicone rubber, natural rubber, synthetic rubber, sponge rubber, foam rubber, other rubbers, PVC, thermoplastic polymers.
- the spring element may take on different forms other than a block of material.
- the spring element may be a helical spring such as a coil spring, tapered spring, or hourglass spring, or the spring element may be a leaf spring, torsion spring, disc spring, clock spring, flat spring, wave spring, hourglass spring, a stretchable fabric, an elastically compressible component, or any other component that can be used to store potential energy.
- the spring element may be a single component, as with the compressible block shown in the figures, or may be a collection of multiple components, such as a plurality of spring coils spread out over an area of the electrode, e.g., one on each corner of the upper surface of the electrode and one or more coils in a central region of the upper surface of the electrode.
- the housings of adjacent sensors are attached to one another via a hinge and are free to pivot relative to one another.
- the electrode within the sensor housing only has one degree of freedom relative to the sensor housing, with extra degrees of freedom provided by the hinge connecting adjacent sensors.
- a spring element 1110 oriented in the axis normal to the sensor housing may provide the single degree of freedom for the electrode relative to the housing as shown, for example, in FIG.11 A.
- hinge 1120 may provide additional degree(s) of freedom.
- the combination of the single degree of freedom provided by the spring element 1110 and the additional one or more degrees of freedom provided by the hinge 1120 provide a wearable biosensor recording device with multiple degrees of freedom to enable electrodes to remain in contact with the body surface (e.g., the skin) during movements and/or muscle contractions, as described herein.
- the spring element may be made of a material having a Young’s Modulus of at least about 0.5 MPa, at least about 1 MPa, at least about 1.5 MPa, at least about 2 MPa, at least about 2.5 MPa, at least about 3 MPa, at least about 3.5 MPa, at least about 4 MPa, at least about 4.5 MPa, at least about 5 MPa, at least about 5.5 MPa, at least about 6 MPa, at least about 6.5 MPa, at least about 7 MPa, at least about 7.5 MPa, at least about 8 MPa, at least about 8.5 MPa, at least about 9 MPa, at least about 9.5 MPa, or at least about 10 MPa.
- a Young’s Modulus of at least about 0.5 MPa, at least about 1 MPa, at least about 1.5 MPa, at least about 2 MPa, at least about 2.5 MPa, at least about 3 MPa, at least about 3.5 MPa, at least about 4 MPa, at least about 4.5 MPa, at least about 5 MPa, at
- the spring element may be made of a material having a Young’s Modulus of less than or equal to about 10 MPa, less than or equal to about 9.5 MPa, less than or equal to about 9 MPa, less than or equal to about 8.5 MPa, less than or equal to about 8 MPa, less than or equal to about 7.5 MPa, less than or equal to about 7 MPa, less than or equal to about 6.5 MPa, less than or equal to about 6 MPa, less than or equal to about 5.5 MPa, less than or equal to about 5 MPa, less than or equal to about 4.5 MPa, less than or equal to about 4 MPa, less than or equal to about 3.5 MPa, less than or equal to about 3 MPa, less than or equal to about 2.5 MPa, less than or equal to about 2 MPa, less than or equal to about 1.5 MPa, or less than or equal to about 1 MPa.
- a Young’s Modulus of less than or equal to about 10 MPa, less than or equal to about 9.5 MPa, less than or equal
- the spring element may be made of a material having a Young’s Modulus of about 0.5 MPa to about 10 MPa, or about 1.5 MPa to about 9 MPa, or about 2.5 MPa to about 8 MPa, or about 3.5 MPa to about 7 MPa, or about 5 MPa to about 6.5 MPa, or about 5 to 7 MPa, or about 6 MPa.
- the spring element may have a spring constant k of at least about 1.5 N/mm, 2 N/mm, 2.5 N/mm, 3 N/mm, 3.5 N/mm, 3.75 N/mm, 4 N/mm, 4.5 N/mm, or 5 N/mm. In some embodiments, the spring element may have a spring constant k of less than or equal to about 10 N/mm, 9 N/mm, 8 N/mm, 7 N/mm, 6 N/mm, 5 N/mm, 4 N/mm, 3.75 N/mm, 3.5 N/mm, 3 N/mm, or 2 N/mm. Combinations of the above-referenced ranges are also possible.
- the spring element may have a spring constant k of about 1.5 N/mm to about 10 N/mm, or about 2 N/mm to about 8 N/mm, or about 2.5 N/mm to about 6 N/mm, or about 3 N/mm to about 4 N/mm, or about 3.5 N/mm to about 4 N/mm, or about 3.75 N/mm.
- the spring element may behave as a nonlinear spring.
- the spring element may provide different spring forces and/or mechanical resistances on different axes. This may be accomplished by a spring element that is a single component, or a spring element that is a collection of
- the spring element is unattached to the electrode and/or to the housing. In some embodiments, the spring element is not physically attached to any components of the sensor. Instead, the spring element is free-floating.
- the spring element may be constrained from movement due to the physical presence of other components arranged on either side and/or surrounding the spring element. For example, in the embodiment shown in FIG. 4, the spring element 530 is sandwiched between rigid PCB 544 and rigid PCB 545. In some embodiments, the sides of the spring element may be constrained from lateral movement by the inner surfaces of the housing.
- the housing determines the starting position of the electrode.
- the housing may be shaped to accommodate the shape of the electrode such that the housing guides the electrode back into its starting position when the electrode is no longer subjected to a contact force.
- the electrode has only a single starting position.
- the housing has an inner surface with sloped walls that serve as a funnel to guide the electrode back toward its starting position.
- the housing 510 has inner surfaces 515 adjacent to the opening 517 into the housing. The inner surfaces are angled inwardly toward one another to create a funnel effect.
- the electrode has side surfaces 682, 683 that are also sloped inwardly toward one another. The side surfaces of the electrode may be sloped at a same angle as that of the inner walls of the housing.
- the electrodes shown in FIGS. 4-6B have a trapezoidal prism shape.
- the longer base 670 of the trapezoidal prism is located within the housing 510 and the shorter base is the contact surface 680, which is located outside the housing, and the two side surface 682 and 683 connect the longer base 670 to the shorter base/contact surface 680.
- contact surface 680 is curved in a convex shape
- the approximate shape of the electrode is still considered to be trapezoidal even though the two bases 670, 680 are not technically parallel to one another.
- the electrode may have a cross-sectional shape that is or is approximately trapezoidal, triangular, rectangular, square, semicircular, semi-elliptical, domed, round, or any other suitable shape.
- the electrode may be or may approximate the shape of: a cylinder, prism (including rectangular prism and trapezoidal prism), cube, cuboid, conical frustum, square frustum, pentagonal frustum, a hemisphere, a dome, an elongated dome, egg-shaped, an ellipsoid, a semi-ellipsoid, or any other suitable shape.
- an electrode 600 may have side surfaces 682, 683 that are parallel to one another rather than sloped. As seen in FIG. 7B, the electrode 600 has an approximately rectangular cross-section, with the contact surface 680 being outwardly curved in a convex shape.
- the electrode may include a different feature to permit the electrode to be seated within the opening of the housing.
- the electrode includes shoulders 650 that interact with the housing to seat the electrode in place.
- the housing has contact surfaces in the form of ledges 518 protruding from the inner surface of the housing, where the ledges are sized and shaped to receive the shoulders 650 of the electrode.
- the shoulders 650 of the electrode are pushed by the spring element 530 against the ledges 518 of the housing to seat the electrode in place within the opening 517 of the housing.
- the shoulders of the electrode may protrude outwardly beyond the side surfaces 682,
- electrode 600 has a round form.
- the electrode has one continuous sidewall 686 that extends around the entire electrode.
- the electrode 600 has an approximately frustoconical shape, with a longer base 670 and a shorter base 680 that serves as a contact surface.
- the contact surface 680 may be curved outwardly in a convex shape.
- the cross- sectional shape of the electrode is approximately trapezoidal.
- a housing shaped to accommodate a frustoconical electrode such as the one shown in FIGS. 8 A and 8B may have a circular inner wall surface that is slanted to match the angle of the sidewall 686 of the electrode.
- the opening defined by the housing through which the electrode extends and moves may be circular.
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
Arrangements for improving neuromuscular recording electrode contact with a body surface are described. According to some aspects, a sensor assembly may include a housing and one or more electrodes that are moveable relative to the housing. The electrodes may rotate and/or translate relative to the housing and/or have at least two degrees of freedom relative to the housing. The sensor may include a spring element that stores potential energy and biases the electrodes toward a starting position in which the electrodes extend at least partially out of the sensor housing. In some embodiments, application of a contact force to one or more of the electrodes of the sensor compresses the spring element, causing the spring element to store potential energy.
Description
METHODS AND APPARATUS FOR IMPROVED SIGNAL ROBUSTNESS FOR A WEARABLE NEUROMUSCULAR RECORDING DEVICE
RELATED APPLICATIONS
[001] This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application No. 62/700,434 filed July 19, 2018 and titled,“METHODS AND
APPARATUS FOR IMPROVED SIGNAL ROBUSTNESS FOR A WEARABLE NEUROMUSCULAR DEVICE,” the entire contents of which is incorporated by reference herein.
BACKGROUND
[002] Neuromuscular signals arising from the human central nervous system may reflect neural activation that results in the contraction of one or more muscles in the human body. Neuromuscular recording sensors, an example of which includes surface electromyography (sEMG) sensors, placed on the surface of the human body record neuromuscular activity produced when skeletal muscle cells are activated. The neuromuscular activity measured by neuromuscular recording sensors may result from neural activation, muscle excitation, muscle contraction, or a combination of the neural activation and muscle excitation and contraction. Signals recorded by neuromuscular recording sensors are routinely used to assess neuromuscular dysfunction in patients with motor control disorders and have been used in some applications as control signals for devices such as prosthetic limbs. High quality surface electromyography (sEMG) signals are typically acquired from wet electrodes in a laboratory setting using skin preparations that require application of a gel or paste at the electrode- skin interface to improve the conductivity between the skin and the electrodes.
SUMMARY
[003] Coordinated movements of skeletal muscles in the human body that collectively result in the performance of a motor task originate with neural signals arising in the central nervous system. The neural signals travel from the central nervous system to muscles via spinal motor neurons, each of which has a cell body in the spinal cord and axon terminals on one or more muscle fibers. In response to receiving the neural signals, the muscle fibers contract resulting in muscle movement. A spinal motor neuron and the muscle fiber(s) it innervates are collectively referred to as a“motor unit.” Muscles typically include muscle fibers from hundreds of motor units and simultaneous contraction of muscle fibers in multiple motor units is usually required for muscle contraction that results in movement and forces in the musculoskeletal system.
[004] Neuromuscular recording sensors such as EMG sensors record biological signals that result in motor activity, such as contraction of a muscle. In the case of EMG sensors arranged on the surface of the human body, the biological signals recorded relate to the generation of action potentials in motor units, though the signals are dominated by signals originating from muscle fibers. Some embodiments are directed to analyzing neuromuscular signals to identify patterns of activation associated with sub-muscular biological structures (e.g., individual motor units or groups of motor units). Control signals determined based on activation of muscle groups or sub-muscular structures may be used to control the operation of devices.
[005] According to some aspects, a wearable bioelectrical sensing device is provided. The wearable bioelectrical sensing device comprises a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode. The wearable bioelectrical sensing device further comprises a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrode being configured to rotate relative to the first housing from a starting position to a rotated position, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and
fourth electrodes being configured to rotate relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user. The wearable bioelectrical sensing device further comprises a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing, a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing, and a spring element configured to bias the first electrode toward the starting position of the first electrode.
[006] According to some aspects, a wearable bioelectrical sensing device is provided. The wearable bioelectrical sensing device comprises a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode. The wearable bioelectrical sensing device further comprises a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrodes being movable relative to the first housing with at least one degree of freedom such that each of the first electrode and second electrode is movable from a starting position to a different position relative to the first housing. The wearable bioelectrical sensing device further comprises a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being movable relative to the second housing with at least one degree of freedom such that each of the third electrode and the fourth electrode is movable from a starting position to a different position relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user. The wearable bioelectrical sensing device further comprises, a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing, a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing, and a spring element configured to bias the first electrode toward the starting position of the first electrode.
[007] According to some aspects, a method of using a wearable bioelectrical sensing device is provided. The method comprises wearing the wearable bioelectrical sensing device to contact a first electrode, a second electrode, a third electrode, and a fourth electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, and rotating the first electrode relative to the first housing from a starting position to a rotated position while keeping the first electrode in contact with the skin throughout the rotation.
[008] According to some aspects, a method of using a wearable bioelectrical sensing device is provided. The method comprises wearing the wearable bioelectrical sensing device to contact a first electrode, a second electrode, a third electrode, and a fourth electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, and moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.
[009] According to some aspects, a wearable device is provided, including a first electrode and a first housing containing at least a portion of the first electrode. The first electrode is configured to rotate relative to the first housing from a starting position to a rotated position. The wearable device also includes a band that is coupled to the first housing and is configured to be worn by a user.
[0010] According to some aspects, a wearable device is provided, including a first electrode and a first housing containing at least a portion of the first electrode. The first electrode is movable relative to the first housing with at least two degrees of freedom such that the first electrode is movable from a starting position to a different position relative to the first housing. The wearable device also includes a band that is coupled to the first housing and is configured to be worn by a user.
[0011] According to some aspects, a method of using a wearable device is provided, including: wearing a band to contact a first electrode with skin, where a first housing is coupled to the band and the first housing contains at least a portion of the first electrode, and rotating the first electrode relative to the first housing from a starting position to a rotated position.
[0012] According to some aspects, a method of using a wearable device is provided, including: wearing a band to contact a first electrode with skin, where a first housing is coupled to the band and the first housing contains at least a portion of the first electrode, and moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.
[0013] It should be appreciated that all combinations of the foregoing concepts and additional concepts discussed in greater detail below (provided such concepts are not mutually inconsistent) are contemplated as being part of the inventive subject matter disclosed herein. In particular, all combinations of claimed subject matter appearing at the end of this disclosure are contemplated as being part of the inventive subject matter disclosed herein.
BRIEF DESCRIPTION OF DRAWINGS
[0014] Various non-limiting embodiments of the technology will be described with reference to the following figures. It should be appreciated that the figures are not necessarily drawn to scale.
[0015] FIG. 1 is a schematic diagram of components of a neuromuscular recording system in accordance with some embodiments of the technology described herein;
[0016] FIG. 2 illustrates a wristband having neuromuscular recording sensors arranged circumferentially thereon, in accordance with some embodiments of the technology described herein;
[0017] FIG. 3 illustrates a user wearing the wristband of FIG. 2 while typing on a keyboard, in accordance with some embodiments of the technology described herein;
[0018] FIG. 4 depicts an illustrative embodiment of an neuromuscular recording sensor having moveable electrodes, according to some embodiments;
[0019] FIG. 5 depicts a cross-sectional view of the sensor shown in FIG. 4 along the X-Z plane, with the moveable electrode shown in three different positions;
[0020] FIG. 6A depicts a perspective section view of the sensor shown in FIG. 4;
[0021] FIG. 6B depicts the neuromuscular recording sensor of FIG. 6A with the electrodes shown in phantom;
[0022] FIG. 7A depicts an illustrative embodiment of a neuromuscular recording sensor according to an alternative embodiment;
[0023] FIG. 7B depicts a cross-sectional view of the neuromuscular recording sensor shown in FIG. 7 A;
[0024] FIG. 8A depicts an illustrative embodiment of an electrode for neuromuscular recording sensor according to an alternative embodiment;
[0025] FIG. 8B depicts a cross-sectional view of the neuromuscular recording sensor shown in FIG. 8A;
[0026] FIG. 9A illustrates a wearable system with sixteen neuromuscular recording sensors arranged circumferentially around an elastic band configured to be worn around a user’s lower arm or wrist, in accordance with some embodiments of the technology described herein;
[0027] FIG. 9B is a cross-sectional view through one of the sixteen neuromuscular recording sensors illustrated in FIG. 9A;
[0028] FIGS. 10A and 10B schematically illustrate components of a computer-based system on which some embodiments are implemented. FIG. 10A illustrates a wearable portion of the computer-based system and FIG. 10B illustrates a dongle portion
connected to a computer, wherein the dongle portion is configured to communicate with the wearable portion;
[0029] FIG. 11A shows a cross-sectional view through a neuromuscular recording sensor and its associated sensor housing, in accordance with some embodiments of the technology described herein; and
[0030] FIG. 11B shows a cross-sectional view through a plurality of neuromuscular recording sensors coupled via hinge structures, in accordance with some embodiments of the technology described herein.
DETAILED DESCRIPTION
[0031] Obtaining consistent high-quality neuromuscular (e.g., sEMG) signals using neuromuscular recording (e.g., sEMG) electrodes and conventional signal processing techniques is challenging, in part due to the difficulty of maintaining sufficient contact between a neuromuscular recording electrode and a moving body surface, e.g., skin.
[0032] Aspects herein relate to the use of sensors to detect biological signals resulting from the activation of motor unit. The sensors may include a plurality of neuromuscular recording sensors configured to detect signals arising from neuromuscular activity in skeletal muscle of a human body. The term“neuromuscular activity” as used herein refers to neural activation of spinal motor neurons that innervate a muscle, muscle activation, muscle contraction, or any combination of neural activation, muscle activation, and muscle contraction. In some embodiments, the plurality of
neuromuscular recording sensors may be used to sense sub-muscular activity associated with a sub-muscular structure (e.g., a motor unit or set of motor units). In various embodiments of the systems, apparatuses, and methods described herein, neuromuscular signals may be used to derive control signals for machine control, to create an immersive rendering of a virtual hand (e.g., a rendering of the user’s‘handstate’), or other applications. In general, consistent and high-quality neuromuscular signals (e.g., high signal-to-noise ratio (SNR), consistent noise characteristics in the frequency-domain, etc.) enable the neuromuscular signals to be more effectively used for immersive,
control, and other applications. The inventors have recognized that in at least some instances, motion artifacts may cause an epoch of recorded data to be unsatisfactory or unusable (e.g., on one or more channels of a neuromuscular recording sensor array) due to the magnitude of the artifact being larger than the biological signals of interest.
Motion artifacts may change the baseline (e.g., direct current level) of a recording. In some instances, motion artifacts may cause an amplifier in a neuromuscular recording system to saturate, rendering the underlying biological signal completely unresolvable.
[0033] To detect signals arising from neuromuscular activity, neuromuscular recording electrodes are held in contact against a body surface (e.g., skin). When the contact between skin and an electrode changes, motion artifacts may be generated. For example, an electrode may partially or fully lift off of the skin due to movement of a wearable neuromuscular recording device and/or conformational changes in a user’s body due to movement, muscle contraction, or other reason. Motion artifacts may also be generated from a change in the pressure between electrode and skin, a change of the orientation (e.g., an angle as parametrized by pitch, yaw, and roll) of an electrode relative to the skin, a translation of the electrode (e.g., a change in the position of the electrode on the skin), or a conformational change in the tissue underlying the electrode due to a muscle contraction, movement, or other reason.
[0034] Dry biosensor electrodes that interface mechanically with skin for recording neuromuscular activity are preferred relative to electrodes that require the use of adhesive and/or conductive gels (i.e.,‘wet electrodes’). Compared to wet electrodes, dry electrodes require less set up time, can be re-used numerous times without degrading signal quality, and provide a more pleasant user experience due to the absence of residue on the skin after an electrode has been removed. The inventors have appreciated that dry electrodes or those that interface with a body surface without the use of adhesive and/or conductive gels are susceptible to signal variations - in part due to several kinds of motion artifacts - that make downstream processing of biological signals challenging. For example, the neuromuscular recording sensors (i.e., electrodes) may interface with a part of the body that changes in size and cross-section during muscle contractions, or the electrodes may be integrated in a wearable form factor that shifts relative to the skin due
to movements and forces of a user’s musculoskeletal system. For example, as the body part changes conformation, the electrodes may lift off of the body part surface (fully or partially), become further pressed into the surface (possibly changing the impedance of the skin-electrode contact), shift laterally across the skin, or otherwise experience a change in the recording contact with the skin.
[0035] The inventors have recognized that variable pressure across electrodes can cause inaccuracies and motion artifacts. The inventors have also appreciated that an electrode lifting off the body surface may permit electrical line noise (e.g., 50 Hz or 60 Hz noise) to completely infiltrate the signal, reducing the fidelity of the neuromuscular recordings.
[0036] The inventors have also recognized that body hair can contribute to reduced quality of neuromuscular recordings because hair between the electrode surface and the skin is not conductive, which may have one or more deleterious effects on the quality of neuromuscular signals, including: increased noise (e.g., electrical line noise) and a propensity for exacerbated motion artifacts when the hairs between an electrode and the skin shift or otherwise change in position and/or composition.
[0037] The inventors have observed that epochs of poor signal quality in neuromuscular recordings often coincide with muscle contractions that cause the body surface to pull away from the electrode surface. Mechanical or other strategies to maintain a consistent electrode-skin interface for neuromuscular recording despite conformational changes or movement of a user’s body would improve the quality and consistency of neuromuscular recordings.
[0038] In addition to signal variations due to hair or movement of the subject’s skin and muscle, the inventors have also recognized that movement of the housing or other component of a wearable neuromuscular recording apparatus mechanically coupled to a neuromuscular recording sensor (e.g., an sEMG electrode) may impart an inertial moment at the electrode- skin interface and can likewise cause motion artifacts in the recorded neuromuscular signals.
[0039] In addition to being undesirable in the resulting signal, the inventors have also recognized that large artifacts and shifts in the baseline of a signal often dictate choice of
an amplifier gain and filter components such that the amplifier will not saturate and/or will recover quickly. Reducing motion artifacts, electrode contact issues, 50 or 60 Hz noise, and amplifier saturation allows for more flexibility in the choice of circuit components and allows for use of a larger portion of the ADC (analog digital converter) dynamic range for biosignal recording, resulting in finer resolution/precision in the neuromuscular (e.g., sEMG) signal output from a recording system such as that shown in FIG. 1 and FIGS. 10A-B.
[0040] In some clinical applications, wet contact electrodes containing a hydrogel or other conductive material at the dermal surface are often used in combination with adhesive pads for signal stability. The inventors have appreciated that these electrodes can be time consuming to apply and are usually single use due to the degradation of the hydrogel (or other‘wet’) interface and adhesive due to dirt and oils on the skin. The inventors have also recognized that, in some clinical applications, semi-dry electrodes are used instead of wet contact electrodes. The inventors have appreciated that, while semi-dry electrodes are not typically applied with adhesive and may be multi-use, they may require maintenance, proper storage, and can be less durable than a dry electrode.
[0041] The inventors have thus recognized the need for an arrangement that provides improved contact between electrodes for neuromuscular and other biosignal recording and a user’s body surface. The systems and methods described herein may be used for any bioelectrical surface recording, including neuromuscular recordings (e.g., electromyography, electrical impedance tomography) and other biosignal recordings.
[0042] FIG. 1 schematically depicts components of an illustrative neuromuscular recording system 100, in accordance with some embodiments. System 100 includes a pair of neuromuscular recording (e.g., dry sEMG) electrodes 110. In some
embodiments, electrodes 110 may be arranged as a portion of a wearable device configured to be worn on or around a part of a user’s body. For example, in one non limiting example, a plurality of neuromuscular recording sensors including
neuromuscular recording electrodes (e.g., electrodes 110) are arranged circumferentially around an adjustable and/or elastic band such as a wristband or armband configured to be worn around a user’s wrist or arm. Alternatively, at least some of the neuromuscular
recording sensors may be arranged on a wearable patch configured to be affixed to a portion of the user’s body.
[0043] Surface potentials recorded by neuromuscular recording electrodes are typically small (pV to mV) and amplification of the signals recorded by the neuromuscular recording electrodes is typically desired. As shown in FIG. 1, neuromuscular recording (e.g., dry sEMG) electrodes 110 are coupled to amplification circuitry 112, configured to amplify the neuromuscular signals recorded by the electrodes. The output of the amplification circuitry 112 is provided to analog-to-digital converter (ADC) circuitry 114, which converts the amplified neuromuscular signals to digital signals for further processing by microprocessor 116. Microprocessor 116 may be implemented by one or more hardware processors. The processed signals output from microprocessor 116 may be interpreted by host machine 120, examples of which include, but are not limited to, a desktop computer, a laptop computer, a smartwatch, a smartphone, or any other computing device. In some implementations, host machine 120 may be configured to output one or more control signals for controlling a physical or virtual device based, at least in part, on an analysis of the signals output from microprocessor 116.
[0044] As shown, neuromuscular recording system 100 also includes sensors 118, which may be configured to record types of information about a state of a user other than neuromuscular information. For example, sensors 118 may include, but are not limited to, temperature sensors configured to measure skin/electrode temperature, inertial measurement unit (IMU) sensors configured to measure movement information such as rotation and acceleration, humidity sensors, heart-rate monitor sensors, camera and video input, and other bio-chemical sensors configured to provide information about the user and/or the user’s environment.
[0045] In one implementation, sixteen neuromuscular recording sensors including neuromuscular recording (e.g., dry sEMG) electrodes are arranged circumferentially around an elastic band configured to be worn around a body part, such as a user’s lower arm. For example, FIG. 2 shows neuromuscular recording sensors 504 coupled to a band 502, which may be an elastic band. The sensors may be arranged circumferentially around the band. It should be appreciated that any suitable number of neuromuscular
recording sensors having any suitable number of neuromuscular recording (e.g., dry sEMG) electrodes may be used and the number and arrangement of sensors/electrodes may depend on the particular application for which the wearable device is used. For example, as shown in FIG. 2, some of the neuromuscular recording sensors 504 include two neuromuscular recording electrodes 600 and 602, whereas others of the
neuromuscular recording sensors 504 include three neuromuscular recording electrodes 600, 602, and 604, with the middle of the three electrodes being a ground or reference electrode. The ground electrode may be included on one or more of the neuromuscular recording sensors 504 to, for example, further bias the skin potential and/or to filter out noise. Each of the sensors 504 may include a sensor housing 510. Although the schematic diagram in FIG. 1 illustrates only two or three electrodes being connected to an amplifier, it should be appreciated that for sEMG sensors 504 in which one, two, three, or more than three electrodes are used, a corresponding number of connections between the electrodes and the amplification circuitry would be included.
[0046] In one example application of the technology described herein, FIG. 3 shows a user 506 wearing elastic band 502 on hand 508. In this way, neuromuscular recording sensors 504 may be configured to record neuromuscular signals as a user controls keyboard 519 using fingers 511.
[0047] FIG. 9A shows an alternate configuration of a wearable bioelectrical recording system with sixteen neuromuscular recording sensors 910 (e.g., sEMG sensors) arranged circumferentially around an elastic band 920 configured to be worn around a user's lower arm or wrist in accordance with some embodiments. As shown, neuromuscular recording sensors 910 are arranged circumferentially around elastic band 920. It should be appreciated that any suitable number of neuromuscular recording sensors may be used. The number and arrangement of neuromuscular recording sensors may depend on the particular application for which the wearable system is used. For example, a wearable armband or wristband can be used to generate control information for controlling an augmented reality system, a robot, controlling a vehicle, scrolling through text, controlling a virtual avatar, or any other suitable control task. As shown, the sensors may be coupled together using flexible electronics incorporated into the wireless device, FIG.
9B illustrates a cross-sectional view through one of the sensors of the wearable system shown in FIG. 9 A.
[0048] In some embodiments, the output of one or more of the sensing components can be optionally processed using hardware signal processing circuitry (e.g., to perform amplification, filtering, and/or rectification). In other embodiments, at least some signal processing of the output of the sensing components can be performed in software. Thus, signal processing of signals sampled by the sensors can be performed in hardware, software, or by any suitable combination of hardware and software, as aspects of the technology described herein are not limited in this respect. A non-limiting example of a signal processing chain used to process recorded data from sensors 910 are discussed in more detail below with reference to FIGS. 10A and 10B.
[0049] FIGS. 10A and 10B illustrate a schematic diagram with internal components of a wearable system with sixteen sEMG sensors. As shown, the wearable system includes a wearable portion 1010 (FIG. 10 A) and a dongle portion 1020 (FIG. 10B) in
communication with the wearable portion 1010 (e.g., via Bluetooth or another suitable short range wireless communication technology). As shown in FIG. 10A, the wearable portion 1010 includes sensors 910, examples of which are described in connection with FIGS. 9A and 9B. The output of the sensors 910 is provided to analog front end 1030 configured to perform analog processing (e.g., noise reduction, filtering, etc.) on the recorded signals. The processed analog signals are then provided to analog-to-digital converter 1032, which converts the analog signals to digital signals that can be processed by one or more computer processors. An example of a computer processor that may be used in accordance with some embodiments is microcontroller (MCU) 1034 illustrated in FIG. 10A. As shown, MCU 1034 may also include inputs from other sensors (e.g., IMU sensor 1040), and power and battery module 1042. The output of the processing performed by MCU may be provided to antenna 1050 for transmission to dongle portion 1020 shown in FIG. 10B.
[0050] Dongle portion 1020 includes antenna 1052 configured to communicate with antenna 1050 included as part of wearable portion 1010. Communication between antenna 1050 and 1052 may occur using any suitable wireless technology and protocol,
non-limiting examples of which include radiofrequency signaling and Bluetooth. As shown, the signals received by antenna 1052 of dongle portion 1020 may be provided to a host computer for further processing, display, and/or for effecting control of a particular physical or virtual object or objects.
[0051] Although the examples provided with reference to FIGS. 9A, 9B and FIGS. 10A, 10B are discussed in the context of interfaces with EMG sensors, it is understood that the techniques described herein for reducing electromagnetic interference can also be implemented in wearable interfaces with other types of sensors including, but not limited to, mechanomyography (MMG) sensors, sonomyography (SMG) sensors, and electrical impedance tomography (EFT) sensors.
[0052] When a user performs a motor task, such as moving their arm, a group of muscles necessary to perform the motor task is activated. When the motor task is performed while the user is wearing a wearable device that includes neuromuscular recording sensors, the neuromuscular signals recorded by the sensors on the surface of the body correspond to superimposed and spatiotemporally filtered activity of all motor units in the muscles in the group activated during performance of the motor task. The neuromuscular signals may be analyzed and mapped to control signals to control a device based on the type of movement, pose, force, or gesture that the user performs.
For example, if the user performs a thumbs-up gesture with their hand, a corresponding control signal to select an object in a user interface may be generated. The mapping between sensor signals and control signals may be implemented, for example, using an inferential model trained to associate particular sensor signal inputs with control signal outputs. In some embodiments, the output of the trained inferential model may be musculoskeletal position information that describes, for example, the positions and/or forces of elements in a computer-implemented musculoskeletal model. As
neuromuscular signals are continuously recorded, the musculoskeletal model may be updated with predictions of the musculoskeletal position information (e.g., joint angles and/or forces) output from the inferential model. Control signals may then be generated based on the updated musculoskeletal position information. In other embodiments, the
output of the trained inferential model may be the control information itself, such that a separate musculoskeletal model is not used.
[0053] Described herein are neuromuscular (e.g., sEMG) sensor arrangements that provide improved contact between sensor electrodes and a user’s body surface (e.g., skin) for improved signal detection.
[0054] According to one aspect, some embodiments described herein are directed to a neuromuscular recording sensor having electrodes that are moveable relative to the sensor housing to permit the electrodes to remain in contact with the body surface as the body portion changes conformation and/or the sensor housing moves relative to the body surface (e.g., due to a user moving their arm about their shoulder joint to wave and causing inertial forces on the housing of the neuromuscular recording sensor(s) to translate the position of an electrode relative to a portion of the surface of the user’s body (e.g., skin)). In some embodiments, the electrodes may be configured in an assembly that permits them to rotate relative to the sensor housing. In some embodiments, the electrodes may be configured in an assembly that permits them to rotate and translate relative to the sensor housing. The electrodes may have at least two, at least three, at least four, at least five, or six degrees of freedom relative to the sensor housing. In some embodiments, where an electrode has five degrees of freedom relative to the sensor housing, the electrode may translate along three perpendicular axes (i.e., in three dimensions) and rotate about two of these axes relative to the sensor housing. In some embodiments, an electrode may have three degrees of freedom comprising rotation about three axes (i.e. pitch, yaw, and roll). In general, an electrode for neuromuscular recording configured in a wearable assembly or housing may rotate in any or all of the three translational axes (i.e. translating laterally along the skin in two dimensions or vertically as the skin position moves in the vertical plane relative to the housing of the neuromuscular recording system) and/or in any or all of the rotational axes (pitch, yaw, and roll).
[0055] In some embodiments, the electrodes may have a starting position in which at least a portion of the electrodes extend out of an opening of the housing, and the electrodes may be configured to move inwardly into the housing through the opening during application of force upon the electrodes. The electrodes and the housing may
each be shaped to cooperate with one another to permit movement of the electrodes and to guide the electrode toward a starting position in which the electrode is seated within the housing when the contact force applied to the electrode is removed.
[0056] In some embodiments, the electrodes may be free of attachments from the sensor housing, allowing the electrodes to move relative to the housing. In other embodiments, however, the electrodes may be physically attached to the housing, but with slack and/or elasticity in the attachment arrangement (e.g., via a spring) to permit movement of the electrodes relative to the housing.
[0057] According to another aspect, in some embodiments described herein, a neuromuscular (e.g., sEMG) electrode (also referred to herein as a sensor) arrangement includes a spring element that biases the neuromuscular electrode to press against the body surface when the neuromuscular recording system that contains the neuromuscular electrode is worn by a user. The spring element may be configured to bias the electrode in a starting position in which the electrode extends outwardly from the sensor housing, while permitting the electrode to move inwardly into the housing upon application of sufficient force against the electrode.
[0058] One illustrative implementation of the neuromuscular (e.g., sEMG) electrode (also referred to herein as a sensor) 504 shown in FIGS. 2, 3, and 9A-B is provided in FIG. 4, according to some embodiments. The neuromuscular recording sensor 504 includes dry electrodes 600, 602 and a housing 510, which may be made up of an upper housing 512 and a lower housing 516. The electrodes 600, 602 are moveable relative to the housing 510. In the embodiment shown in FIG. 4, the electrodes are free from attachment to the housing. The sensor housing 510 defines an opening 517 through which the electrode extends and/or moves through. The sensor includes a spring element 530 to bias the electrodes 600, 602 in a stationary starting position relative to the housing. At least a portion of the spring element may be contained within the housing 510. The inventors have recognized that other materials that function as a spring may be used instead of or in addition to the spring element 530. For example, a foam component may be positioned above the electrode within the housing.
[0059] When a force is applied to the electrodes 600, 602, e.g., due to contact of skin against the electrodes, the electrodes move relative to the housing, e.g. by rotating, translating, or both. Movement of the electrodes relative to the housing compresses the spring element 530, causing the spring element to store potential energy. When the force applied to the electrodes decreases, the spring element releases the stored potential energy and decompresses, pushing the electrodes back toward their starting positions.
[0060] In the illustrative embodiment shown in FIG. 4, the electrodes 600, 602 have five degrees of freedom relative to the housing 510. The electrodes can translate in the X, Y, and Z axes, and rotate about the X and Y axes. The vertical Z axis is oriented along the height of the sensor, the Y axis is oriented along the depth of the sensor, and the X axis is oriented along the width of the sensor. In some embodiments, the electrode has a longitudinal axis 200 that passes through a center of the electrode. The longitudinal axis 200 may bisect the electrode. The longitudinal axis is parallel to the Z axis when the electrode is in the starting position. In some embodiments, the plane of the opening 517 is parallel with the X-Y plane, and an axis normal to the plane of the opening 517 is parallel with the Z axis and with the longitudinal axis 200 of the electrode.
[0061] In some embodiments, the electrode is configured to translate relative to the housing in a direction perpendicular to the plane of the opening of the housing. In some embodiments, the electrode is configured to translate relative to the housing in a direction parallel to the plane of the opening of the housing.
[0062] In some embodiments, such as that shown in FIG. 4, the electrode is prohibited from rotation about the Z axis (yaw rotation). However, in other embodiments, the electrode is permitted to rotate about the Z axis.
[0063] FIG. 5 illustrates a few examples of different positions to which an electrode 600 in an assembly configured according to some embodiments may move during use. At rest, without any contact forces being applied to the electrode, the electrode is in the starting position 620, in which the electrode extends through the opening 517 of the housing, where a portion of the electrode is positioned within the housing 510 and a portion of the electrode is positioned outside the housing. In some embodiments, in the starting position, the portion of the electrode positioned outside the housing is larger than
the portion of the electrode positioned inside the housing. In some embodiments, in the starting position, the electrode is aligned with the opening of the housing such that the longitudinal axis 200 of the electrode is parallel to the plane of the opening 517. If the opening 517 has a midpoint, the longitudinal axis of the electrode may extend through the midpoint of the opening.
[0064] Upon an application of force to the electrode, the electrode may move into an intermediate position 621 in which a greater portion of the electrode is positioned within the housing 510 as compared to the starting position 620. In the intermediate position 621 shown in FIG. 5, the electrode is both rotated and raised relative to the original starting position 620.
[0065] Finally, with an increase of force to the electrode, the electrode may move into a compressed position 622 in which an entirety of the electrode is positioned within the housing. In some embodiments, the position 622 shown in FIG. 5 is a fully raised position such that the electrode cannot move any further into the housing. However, in other embodiments, the electrode is able to move still further into the housing. In yet other embodiments, when the electrode is in the fully raised position, a portion of the electrode remains outside the housing.
[0066] Distance D shown in FIG. 5 is the distance of travel of the electrode from the starting position 620 to the compressed position 622. Distance D is also the distance from the bottom surface 680 of the electrode to the bottom surface 513 of the housing 510. In some embodiments, distance D is also the maximum travel distance of the electrode. The inventors recognize that larger values of D permit a larger range of motion of the electrode in the Z-dimension upon a force being exerted upon the electrode (e.g., due to a change in the relative force between the portion of a user’s body underlying the electrode and the housing of a wearable neuromuscular recording device that contains the electrode), while also enabling electrode contact to be maintained if the housing of the wearable neuromuscular recording apparatus is positioned such that a particular electrode of the apparatus is relatively far (e.g., having a distance < D) from the surface of the body (e.g., skin). The inventors have recognized that a larger value of D requires a larger housing for that section of the wearable neuromuscular recording device to permit
movement of the electrode into the housing up to a distance of D. The inventors have recognized that the value of D should be selected to balance the various constraints listed above for a given form factor of a neuromuscular recording apparatus and portion of the body on which it is intended to be worn.
[0067] In some embodiments, different electrodes of a neuromuscular recording device that includes a plurality of electrodes may be configured with different values of D based on the expected range of motion required for that electrode given the form factor of the apparatus and the portion of the body on which it is meant to be worn. For example, an apparatus for neuromuscular recording on the wrist may be configured with electrodes having a larger distance D for electrodes overlying the top and bottom of the wrist and a smaller distance D for electrodes overlying the sides of the wrist, because relative movement of tissue is generally larger at the top and bottom of the wrist where soft tissue (tendons, muscles, etc.) is present than for the side of the wrist where bones are present with less soft tissue.
[0068] In some embodiments, distance D may be at least about 0.01 mm, at least about 0.1 mm, at least about 1 mm, at least about 1.2 mm, at least about 1.4 mm, at least about 1.6 mm, at least about 1.8 mm, at least about 2 mm, at least about 2.2 mm, or at least about 2.4 mm. In some embodiments, distance D may be less than or equal to about 4 mm, less than or equal to about 3 mm, less than or equal to about 2.8 mm, less than or equal to about 2.6 mm, less than or equal to about 2.4 mm, less than or equal to about 2.2 mm, less than or equal to about 2 mm, or less than or equal to about 1.8 mm.
Combinations of the above-referenced ranges are also possible. For example, in some embodiments, the distance D may be about 1 mm to about 4 mm, or about 1.2 mm to about 3 mm, or about 1.4 mm to about 2.6 mm, or about 1.6 mm to about 2.4 mm, or about 1.8 mm to about 2.2 mm, or about 2 mm.
[0069] In some embodiments, the electrode must move a threshold distance in the Z direction along the height of the sensor (e.g. in a direction perpendicular to the plane of the opening into the housing) before the electrode is free to translate and rotate on the other two axes perpendicular to the Z axis. In other embodiments, no threshold distance is needed.
[0070] The electrodes may be configured to contour to the body, e.g., by reaching into a valley or cleft between muscles and maintain contact while the user moves and contracts muscles in the body part to which the electrodes are coupled to, e.g., the arm. Thus, the inventors have recognized that the assemblies of neuromuscular recording devices that permit movement (e.g., translation and/or rotation) of one or more electrodes as described herein must have dynamics that are responsive (e.g., via appropriate selection of spring constants of materials) at the timescales of movement of the musculoskeletal system (e.g., hundreds of milliseconds to seconds).
[0071] In some embodiments, the electrode 600 has a contact surface 680 that is configured to make contact with the body surface, e.g., skin. In some embodiments, the contact surface 680 may have a surface that is curved in a convex shape to help the electrode roll along the body surface during muscle movements to decrease sliding artifacts. The surface may be contoured in a variety of ways, such as to avoid hair, and to move with the skin. For example, instead of having a uniformly curved convex shape, the surface of the electrode may have some sections that are concave or otherwise have a different curvature/contour to facilitate movement relative to the skin.
[0072] It should be appreciated that different degree of freedom arrangements are contemplated. In some embodiments, an electrode rotates relative to the sensor housing. In some embodiments, an electrode has at least two degrees of freedom relative to the sensor housing. For example, the electrode may translate and rotate, or, the electrode may translate along two axes, or, the electrode may rotate about two axes. In some embodiments, an electrode has at least two degree of freedom, or, at least three degrees of freedom, or at least four degrees of freedom, or at least five degrees of freedom, or six degrees of freedom relative to the housing.
[0073] In some embodiments, the sensor includes a flexible circuit that permits movement of the electrode relative to the housing. In embodiments with the sensor having a plurality of electrodes, the flexible circuit connects the electrodes together. In some embodiments, a portion of the circuit includes one or more rigid printed circuit boards (“PCBs”) and a portion of the circuit includes one or more flexible PCBs. In some embodiments, a rigid PCB is fixed to each of the electrodes, and the flexible PCBs
connect the rigid PCBs to one another. In some embodiments, the flexible PCB is also connected to each of the electrodes. The inventors recognize that the use of one or more flexible PCBs in the mechanical assemblies for a wearable neuromuscular recording device as described herein enable movement of electrodes relative to rigid elements and the housing, so that the electrode is able to maintain contact with the skin as the wearable device moves relative to the user’s body surface (e.g., skin).
[0074] In the illustrative embodiment shown in FIG. 4, the sensor 504 has a rigid PCB 545 and a flexible PCB 542 attached to the electrode 600 on the longer base 670 side of the electrode. The sensor 504 also includes another rigid PCB 544 in an upper portion of the sensor, above the spring element 530. The flexible PCB 542 may also connect to the upper rigid PCB 544.
[0075] The illustrative embodiment shown in FIGS. 6A and 6B shows an example of how a flexible circuit may be used to connect the electrodes together. As best seen in FIG. 6A, a rigid PCB 544 may be attached to each of the electrodes, and a flexible PCB 542 connects each of the rigid PCBs 544 together. The flexible PCB is also connected to each of the electrodes 600, 602, 604, with the flexible PCB between each of the electrodes and their associated rigid PCB. The flexible PCB also connects to an upper rigid PCB 544.
[0076] The flexible PCB may include portions of slack 543 between the electrodes that allow for independent movement between the electrodes. The portions of slack may form a curved arc shape when each of the electrodes are in a starting position. When one electrode moves relative to another, the portions of slack may change conformation from a curved shape to more of a linear shape.
[0077] In some embodiments, the electrodes are manufactured as a single, monolithic piece of metal, and connected to the flexible circuit. The electrodes may be soldered to the flexible circuit using fabrication techniques such as wave or reflow soldering, or pin/socket connectorization.
[0078] In the illustrative embodiment shown in FIG. 6B, the electrodes 600, 602, 604 each include a socket 660. For each of the electrodes, a pin 662 is passed through the
socket of the electrode and through the rigid and flexible PCBs, connecting the electrodes to the PCBs.
[0079] In some embodiments, the electrode interacts with the spring element via a pin and socket relationship. For example, the electrode may have a protruding post, and the spring element may have a socket that is sized to receive the post of the electrode. In some embodiments, the diameter of the socket is larger than the diameter of the post such that there is some clearance around the post when the post sits within the socket. In some embodiments, the diameter of the socket is equal to the diameter of the post. In some embodiments, the diameter of the socket is smaller than the diameter of the post to create an interference fit between the socket and the post.
[0080] In the illustrative embodiment shown in FIG. 4, the electrode 600 has a post 630 that is received within a socket 532 of the spring element. In some embodiments, the post is integrally formed with the electrode as a single, monolithic component.
[0081] In some embodiments, a thermal relief is positioned between the electrode and the PCB. A thermal relief may be, for example, an indentation or cutout in a surface of an electrode. For example, as shown in the FIG. 4 embodiment, a thermal relief 640 is an indentation in the 670 surface of the electrode and is located between the electrode 600 and the PCBs 542 and 545. The thermal relief may be located at the surface of the electrode that faces the PCBs. The thermal relief may span across an area that is smaller than the area of overlap between the PCBs and the electrode, such that direct contact may be made between the electrode and the PCBs.
[0082] In some embodiments, the electrode and post is soldered to the PCBs of the circuit. The thermal relief 640 may help to dissipate heat from the soldering process to decrease the amount of heat that is transferred to the PCBs. In some embodiments, movement of the electrode may cause the post to heat up, e.g. due to friction. The thermal relief 640 of the electrode may serve to dissipate the heat from the post to decrease the amount of heat that is transferred to the PCBs. In some embodiments, spring element 530 may be made of an insulating material that absorbs heat from the post.
[0083] A wearable device may incorporate a plurality of neuromuscular recording (e.g., sEMG) sensors having moveable electrodes. Each of the sensors may be electrically connected with one another. The housings of each of the sensors may be coupled to one another to form the wearable device. In some embodiments, the housings of adjacent sensors may be attached to one another while remaining moveable relative to one another. The housings of adjacent sensors may have one, two, three, four, five, or six degrees of freedom relative to one another. In some embodiments, the housings of adjacent sensors are attached to one another via a hinge and are free to pivot relative to one another. In some embodiments, the housings of adjacent sensors are attached to one another via an elastic band and are free to pivot and translate relative to one another.
[0084] In the illustrative embodiment shown in FIG. 2, adjacent sensor housings are attached to one another via joints 501. Sensors are connected to one another via joints to form a curveable array of sensors extending from a first end 410 to a second end 420. To form a closed loop, a band 502 may be used to connect the ends 410, 412 of the arc of sensors. The joints 501 between the sensors may have the ability to permit adjacent sensors to pivot relative to one another and/or be pulled away from one another. The band may form a complete loop that is coupled to the array of sensors, as best seen in FIG. 3. The band 502 may have elastic properties to create a biasing force that provides continuous pressure of the electrodes against the wearer’s body surface, e.g., the skin of the wearer’s arm. This continuous pressure provided by the elastic band is opposed by the biasing force provided by the spring elements in each of the sensors. The pressure of the electrodes against the body surface created by the elastic band may cause the electrodes of the sensors 504 to move relative to the sensor housings, causing the spring elements of the sensors to compress. As the wearer moves and/or contracts muscles in the body part on which the device is worn, the continuous pressure provided by the elastic band, along with the ability of the electrodes to move relative to the sensor housings with the moving skin, help to keep the electrodes in contact with the skin. In some embodiments, the housings themselves and the joints that connect them form a wearable device such that a separate band coupled to the housings is not required.
[0085] The spring element 530 is a component that is capable of storing potential energy. In the illustrative embodiments shown in the figures, the spring element is an
elastically compressible block of material. Examples of possible materials for the spring element include, but are not limited to, neoprene, EPDM, foam, silicone rubber, natural rubber, synthetic rubber, sponge rubber, foam rubber, other rubbers, PVC, thermoplastic polymers. The spring element may take on different forms other than a block of material. For example, the spring element may be a helical spring such as a coil spring, tapered spring, or hourglass spring, or the spring element may be a leaf spring, torsion spring, disc spring, clock spring, flat spring, wave spring, hourglass spring, a stretchable fabric, an elastically compressible component, or any other component that can be used to store potential energy.
[0086] The spring element may be a single component, as with the compressible block shown in the figures, or may be a collection of multiple components, such as a plurality of spring coils spread out over an area of the electrode, e.g., one on each corner of the upper surface of the electrode and one or more coils in a central region of the upper surface of the electrode.
[0087] As discussed above, in some embodiments, the housings of adjacent sensors are attached to one another via a hinge and are free to pivot relative to one another. In some embodiments, the electrode within the sensor housing only has one degree of freedom relative to the sensor housing, with extra degrees of freedom provided by the hinge connecting adjacent sensors. For example, a spring element 1110 oriented in the axis normal to the sensor housing may provide the single degree of freedom for the electrode relative to the housing as shown, for example, in FIG.11 A. As shown in FIG. 11B, hinge 1120 may provide additional degree(s) of freedom. In such an arrangement, the combination of the single degree of freedom provided by the spring element 1110 and the additional one or more degrees of freedom provided by the hinge 1120 provide a wearable biosensor recording device with multiple degrees of freedom to enable electrodes to remain in contact with the body surface (e.g., the skin) during movements and/or muscle contractions, as described herein.
[0088] In some embodiments, the spring element may be made of a material having a Young’s Modulus of at least about 0.5 MPa, at least about 1 MPa, at least about 1.5 MPa, at least about 2 MPa, at least about 2.5 MPa, at least about 3 MPa, at least about
3.5 MPa, at least about 4 MPa, at least about 4.5 MPa, at least about 5 MPa, at least about 5.5 MPa, at least about 6 MPa, at least about 6.5 MPa, at least about 7 MPa, at least about 7.5 MPa, at least about 8 MPa, at least about 8.5 MPa, at least about 9 MPa, at least about 9.5 MPa, or at least about 10 MPa. In some embodiments, the spring element may be made of a material having a Young’s Modulus of less than or equal to about 10 MPa, less than or equal to about 9.5 MPa, less than or equal to about 9 MPa, less than or equal to about 8.5 MPa, less than or equal to about 8 MPa, less than or equal to about 7.5 MPa, less than or equal to about 7 MPa, less than or equal to about 6.5 MPa, less than or equal to about 6 MPa, less than or equal to about 5.5 MPa, less than or equal to about 5 MPa, less than or equal to about 4.5 MPa, less than or equal to about 4 MPa, less than or equal to about 3.5 MPa, less than or equal to about 3 MPa, less than or equal to about 2.5 MPa, less than or equal to about 2 MPa, less than or equal to about 1.5 MPa, or less than or equal to about 1 MPa. Combinations of the above-referenced ranges are also possible. For example, in some embodiments, the spring element may be made of a material having a Young’s Modulus of about 0.5 MPa to about 10 MPa, or about 1.5 MPa to about 9 MPa, or about 2.5 MPa to about 8 MPa, or about 3.5 MPa to about 7 MPa, or about 5 MPa to about 6.5 MPa, or about 5 to 7 MPa, or about 6 MPa.
[0089] In some embodiments, the spring element may have a spring constant k of at least about 1.5 N/mm, 2 N/mm, 2.5 N/mm, 3 N/mm, 3.5 N/mm, 3.75 N/mm, 4 N/mm, 4.5 N/mm, or 5 N/mm. In some embodiments, the spring element may have a spring constant k of less than or equal to about 10 N/mm, 9 N/mm, 8 N/mm, 7 N/mm, 6 N/mm, 5 N/mm, 4 N/mm, 3.75 N/mm, 3.5 N/mm, 3 N/mm, or 2 N/mm. Combinations of the above-referenced ranges are also possible. For example, in some embodiments, the spring element may have a spring constant k of about 1.5 N/mm to about 10 N/mm, or about 2 N/mm to about 8 N/mm, or about 2.5 N/mm to about 6 N/mm, or about 3 N/mm to about 4 N/mm, or about 3.5 N/mm to about 4 N/mm, or about 3.75 N/mm.
[0090] In some embodiments, the spring element may behave as a nonlinear spring.
[0091] In some embodiments, the spring element may provide different spring forces and/or mechanical resistances on different axes. This may be accomplished by a spring
element that is a single component, or a spring element that is a collection of
components.
[0092] In some embodiments, the spring element is unattached to the electrode and/or to the housing. In some embodiments, the spring element is not physically attached to any components of the sensor. Instead, the spring element is free-floating. The spring element may be constrained from movement due to the physical presence of other components arranged on either side and/or surrounding the spring element. For example, in the embodiment shown in FIG. 4, the spring element 530 is sandwiched between rigid PCB 544 and rigid PCB 545. In some embodiments, the sides of the spring element may be constrained from lateral movement by the inner surfaces of the housing.
[0093] According to some aspects, in some embodiments, physical interaction between the housing and the electrode determines the starting position of the electrode. The housing may be shaped to accommodate the shape of the electrode such that the housing guides the electrode back into its starting position when the electrode is no longer subjected to a contact force. In some embodiments, the electrode has only a single starting position.
[0094] In some embodiments, the housing has an inner surface with sloped walls that serve as a funnel to guide the electrode back toward its starting position. For example, in the illustrative embodiment shown in FIGS. 4 and 5, the housing 510 has inner surfaces 515 adjacent to the opening 517 into the housing. The inner surfaces are angled inwardly toward one another to create a funnel effect. To cooperate with these inner surfaces, the electrode has side surfaces 682, 683 that are also sloped inwardly toward one another. The side surfaces of the electrode may be sloped at a same angle as that of the inner walls of the housing. As a result, when the spring element releases potential energy and pushes the electrode back out of the housing toward the starting position, the inner surfaces of the housing may help to properly seat the electrode within the opening 517 of the housing into the starting position.
[0095] The electrodes shown in FIGS. 4-6B have a trapezoidal prism shape. In some embodiments, when the electrode is in the starting position, the longer base 670 of the trapezoidal prism is located within the housing 510 and the shorter base is the contact
surface 680, which is located outside the housing, and the two side surface 682 and 683 connect the longer base 670 to the shorter base/contact surface 680. Note that, in embodiments where contact surface 680 is curved in a convex shape, the approximate shape of the electrode is still considered to be trapezoidal even though the two bases 670, 680 are not technically parallel to one another.
[0096] It should be appreciated that different electrode shapes and housing shapes are contemplated. For example, the electrode may have a cross-sectional shape that is or is approximately trapezoidal, triangular, rectangular, square, semicircular, semi-elliptical, domed, round, or any other suitable shape. The electrode may be or may approximate the shape of: a cylinder, prism (including rectangular prism and trapezoidal prism), cube, cuboid, conical frustum, square frustum, pentagonal frustum, a hemisphere, a dome, an elongated dome, egg-shaped, an ellipsoid, a semi-ellipsoid, or any other suitable shape.
[0097] In one illustrative embodiment shown in FIGS. 7 A and 7B, an electrode 600 may have side surfaces 682, 683 that are parallel to one another rather than sloped. As seen in FIG. 7B, the electrode 600 has an approximately rectangular cross-section, with the contact surface 680 being outwardly curved in a convex shape.
[0098] In the embodiment shown in FIGS. 7 A and 7B, without sloped side surfaces to provide a funneling effect, the electrode may include a different feature to permit the electrode to be seated within the opening of the housing. The electrode includes shoulders 650 that interact with the housing to seat the electrode in place. The housing has contact surfaces in the form of ledges 518 protruding from the inner surface of the housing, where the ledges are sized and shaped to receive the shoulders 650 of the electrode. As seen in FIG. 7B, with the electrode 600 in the starting position, the shoulders 650 of the electrode are pushed by the spring element 530 against the ledges 518 of the housing to seat the electrode in place within the opening 517 of the housing. The shoulders of the electrode may protrude outwardly beyond the side surfaces 682,
683 of the electrode, as shown in FIG. 7B.
[0099] In another illustrative embodiment shown in FIGS. 8 A and 8B, electrode 600 has a round form. The electrode has one continuous sidewall 686 that extends around the entire electrode. The electrode 600 has an approximately frustoconical shape, with a
longer base 670 and a shorter base 680 that serves as a contact surface. The contact surface 680 may be curved outwardly in a convex shape. As seen in FIG. 8B, the cross- sectional shape of the electrode is approximately trapezoidal.
[00100] A housing shaped to accommodate a frustoconical electrode such as the one shown in FIGS. 8 A and 8B may have a circular inner wall surface that is slanted to match the angle of the sidewall 686 of the electrode. The opening defined by the housing through which the electrode extends and moves may be circular.
[00101] It should be appreciated that different electrode shapes may be used for the sensor, and the sensor housing may have different conformations to accommodate and guide movement of such electrodes.
[00102] Having thus described several aspects of at least one embodiment of this invention, it is to be appreciated that various alterations, modifications, and
improvements will readily occur to those skilled in the art.
[00103] Such alterations, modifications, and improvements are intended to be part of this disclosure, and are intended to be within the spirit and scope of the invention. Further, though advantages of the present invention are indicated, it should be appreciated that not every embodiment of the technology described herein will include every described advantage. Some embodiments may not implement any features described as advantageous herein and in some instances one or more of the described features may be implemented to achieve further embodiments. Accordingly, the foregoing description and drawings are by way of example only.
[00104] Various aspects of the apparatus and techniques described herein may be used alone, in combination, or in a variety of arrangements not specifically discussed in the embodiments described in the foregoing description and is therefore not limited in its application to the details and arrangement of components set forth in the foregoing description or illustrated in the drawings. For example, aspects described in one embodiment may be combined in any manner with aspects described in other
embodiments.
[00105] Use of ordinal terms such as“first,”“second,”“third,” etc., in the claims to modify a claim element does not by itself connote any priority, precedence, or order of
one claim element over another or the temporal order in which acts of a method are performed, but are used merely as labels to distinguish one claim element having a certain name from another element having a same name (but for use of the ordinal term) to distinguish the claim elements.
[00106] Also, the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. The use of "including,"
"comprising," or "having," “containing,”“involving,” and variations thereof herein, is meant to encompass the items listed thereafter and equivalents thereof as well as additional items.
Claims
1. A wearable bioelectrical sensing device comprising:
a plurality of electrodes including a first electrode and a second electrode;
a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrode being configured to rotate relative to the first housing from a starting position to a rotated position;
a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing; and
a spring element configured to bias the first electrode toward the starting position of the first electrode.
2. The wearable bioelectrical sensing device of claim 1, wherein at least a portion of the spring element is contained within the first housing.
3. The wearable bioelectrical sensing device of claim 1, wherein the spring element comprises foam or neoprene.
4. The wearable bioelectrical sensing device of claim 1, wherein the first housing defines an opening and, in the starting position, the first electrode extends through the opening of the first housing.
5. The wearable bioelectrical sensing device of claim 4, wherein the first electrode is configured to translate relative to the first housing in a direction perpendicular to a plane of the opening.
6. The wearable bioelectrical sensing device of claim 4, wherein the first electrode is configured to translate relative to the first housing in a direction parallel to a plane of the opening.
7. The wearable bioelectrical sensing device of claim 1, wherein the first electrode is configured to translate relative to the first housing.
8. The wearable bioelectrical sensing device of claim 7, wherein the first electrode is configured to translate a distance relative to the first housing before the first electrode is permitted to rotate relative to the first housing.
9. The wearable bioelectrical sensing device of claim 1, wherein the first electrode is configured to rotate relative to the first housing about a first axis and a second axis that is perpendicular to the first axis.
10. The wearable bioelectrical sensing device of claim 9, wherein the first electrode is prohibited from rotating about a third axis perpendicular to the first axis and the second axis.
11. The wearable bioelectrical sensing device of claim 10, wherein the first housing defines an opening and, in the starting position, the first electrode extends through the opening of the first housing, and the third axis comprises a vertical axis that is perpendicular to a plane of the opening.
12. The wearable bioelectrical sensing device of claim 11, wherein the first electrode is prohibited from yaw rotation about the vertical axis.
13. The wearable bioelectrical sensing device of claim 1, wherein the first electrode is configured to translate relative to the first housing in three dimensions.
14. The wearable bioelectrical sensing device of claim 1, further comprising a post attached to the first electrode and extending through the spring element.
15. The wearable bioelectrical sensing device of claim 14, wherein the post is integrally formed with the first electrode as a single, monolithic component.
16. The wearable bioelectrical sensing device of claim 1, wherein the plurality of electrodes further comprises a third electrode and a fourth electrode, and wherein the wearable bioelectrical sensing device further comprises:
a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being configured to rotate relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user; and
a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing.
17. The wearable bioelectrical sensing device of claim 16, wherein a range of movement of the first electrode relative to the first housing is different than a range of movement of the third electrode relative to the second housing.
18. The wearable bioelectrical sensing device of claim 16, further comprising a band coupled to the first housing and the second housing to provide the arrangement that enables the first, second, third, and fourth electrode to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user.
19. The wearable bioelectrical sensing device of claim 16, further comprising a hinge coupling the first housing and the second housing to provide the arrangement that enables the first, second, third, and fourth electrode to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user.
20. The wearable bioelectrical sensing device of claim 1, wherein the first flexible circuit includes slack to allow for rotation of the first and second electrodes relative to the first housing.
21. The wearable bioelectrical sensing device of claim 1, wherein the first electrode has a trapezoidal cross-sectional shape.
22. The wearable bioelectrical sensing device of claim 21, wherein the trapezoidal cross-sectional shape has a curved contact surface.
23. The wearable bioelectrical sensing device of claim 21, wherein the first electrode is in the shape of a trapezoidal prism.
24. The wearable bioelectrical sensing device of claim 21, wherein the first electrode is in the shape of a conical frustum.
25. The wearable bioelectrical sensing device of claim 1, wherein the first electrode has a rectangular cross-sectional shape.
26. The wearable bioelectrical sensing device of claim 25, wherein the rectangular cross-sectional shape has a curved contact surface.
27. The wearable bioelectrical sensing device of claim 25, wherein the first electrode is in the shape of a rectangular prism.
28. The wearable bioelectrical sensing device of claim 1, further comprising a circuit adjacent the first electrode and a thermal relief between the first electrode and the circuit.
29. The wearable bioelectrical sensing device of claim 28, wherein the thermal relief comprises an indentation in a surface of the first electrode that faces the circuit.
30. The wearable bioelectrical sensing device of claim 1, wherein the spring element is unattached to the first housing and unattached to the first electrode.
31. The wearable bioelectrical sensing device of claim 1, wherein the first electrode has a curved contact surface.
32. The wearable bioelectrical sensing device of claim 1, wherein the first electrode has a circular or elliptical cross-sectional shape.
33. A wearable bioelectrical sensing device, comprising:
a plurality of electrodes including a first electrode and a second electrode;
a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrodes being movable relative to the first housing with at least one degree of freedom such that each of the first electrode and second electrode is movable from a starting position to a different position relative to the first housing;
a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing; and
a spring element configured to bias the first electrode toward the starting position of the first electrode.
34. The wearable bioelectrical sensing device of claim 33, wherein each of the first and second electrodes is movable relative to the first housing with at least two degrees of freedom.
35. The wearable bioelectrical sensing device of claim 34, wherein the two degrees of freedom comprise rotation and translation.
36. The wearable bioelectrical sensing device of claim 33, wherein the first electrode is movable relative to the first housing with three degrees of freedom.
37. The wearable bioelectrical sensing device of claim 33, wherein the first electrode is movable relative to the first housing with four degrees of freedom.
38. The wearable bioelectrical sensing device of claim 33, wherein the first electrode is movable relative to the first housing with five degrees of freedom.
39. The wearable bioelectrical sensing device of claim 38, wherein the five degrees of freedom comprise translation along a first axis, a second axis, and a third axis, and rotation about the first axis and the second axis, wherein the first axis, second axis and third axis are perpendicular to one another.
40. The wearable bioelectrical sensing device of claim 33, wherein the plurality of electrodes further includes a third electrode and a fourth electrode, and wherein the wearable bioelectrical sensing device further comprises:
a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being movable relative to the second housing with at least one degree of freedom such that each of the third electrode and the fourth electrode is movable from a starting position to a different position relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user; and
a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing.
41. The wearable bioelectrical sensing device of claim 40, further comprising a hinge coupling the first housing and the second housing to provide the arrangement that enables the first, second, third, and fourth electrode to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user.
42. The wearable bioelectrical sensing device of claim 41, wherein the hinge is configured to enable the first electrode to move relative to the first housing with at least one additional degree of freedom.
43. A method of using a wearable bioelectrical sensing device, the method comprising:
wearing the wearable bioelectrical sensing device to contact a first electrode and a second electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode; and
rotating the first electrode relative to the first housing from a starting position to a rotated position while keeping the first electrode in contact with the skin throughout the rotation.
44. The method of claim 43, further comprising:
compressing a spring element contained within the first housing while rotating the first electrode relative to the first housing, the spring element being configured to bias the first electrode toward the starting position.
45. The method of claim 43, wherein rotating the first electrode relative to the first housing occurs about a first axis, and wherein the method further comprises rotating the first electrode relative to the first housing about a second axis that is perpendicular to the first axis while keeping the first electrode in contact with the skin throughout the rotation.
46. A method of using a wearable bioelectrical sensing device, the method comprising:
wearing the wearable bioelectrical sensing device to contact a first electrode and a second electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode; and
moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.
47. The method of claim 46, further comprising moving the first electrode with three degrees of freedom relative to the first housing.
48. The method of claim 46, further comprising moving the first electrode with four degrees of freedom relative to the first housing.
49. The method of claim 46, further comprising moving the first electrode with five degrees of freedom relative to the first housing.
50. The method of claim 49, wherein the five degrees of freedom comprise translation along a first axis, a second axis, and a third axis, and rotation about the first axis and the second axis, wherein the first axis, second axis and third axis are perpendicular to one another.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862700434P | 2018-07-19 | 2018-07-19 | |
US62/700,434 | 2018-07-19 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2020018892A1 true WO2020018892A1 (en) | 2020-01-23 |
Family
ID=69162692
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2019/042579 WO2020018892A1 (en) | 2018-07-19 | 2019-07-19 | Methods and apparatus for improved signal robustness for a wearable neuromuscular recording device |
Country Status (2)
Country | Link |
---|---|
US (1) | US11045137B2 (en) |
WO (1) | WO2020018892A1 (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11974857B2 (en) | 2019-10-08 | 2024-05-07 | Unlimited Tomorrow, Inc. | Biometric sensor array |
KR102278069B1 (en) * | 2019-10-22 | 2021-07-14 | 조선대학교산학협력단 | EMG-based user authentication device and authentication method |
TWI751461B (en) * | 2019-12-16 | 2022-01-01 | 仁寶電腦工業股份有限公司 | Wearable physiological signal detecting device |
AU2021301217A1 (en) * | 2020-07-01 | 2023-02-02 | Censyn, Inc. | Rapid positioning systems |
EP4482390A1 (en) * | 2022-02-25 | 2025-01-01 | Meta Platforms Technologies, Llc | Smart electrodes for sensing signals and processing signals using internally-housed signal-processing components at wearable devices and wearable devices incorporating the smart electrodes |
US20250076983A1 (en) * | 2022-11-02 | 2025-03-06 | Meta Platforms Technologies, Llc | Wearable Band Structure Having a Band Portion Including Embedded Structural Members with Signal-Processing Components and Another Band Portion Not Including Any Electrical Components, and Systems, Devices, and Methods of Manufacturing Thereof |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040092839A1 (en) * | 2002-10-24 | 2004-05-13 | Shin Sang-Hoon | Apparatus and method for measuring local skin impedance using multiple array elecrtodes |
WO2012155157A1 (en) * | 2011-05-06 | 2012-11-15 | Azoteq (Pty) Ltd | Multiple media capacitive sensor |
CN103777752A (en) * | 2013-11-02 | 2014-05-07 | 上海威璞电子科技有限公司 | Gesture recognition device based on arm muscle current detection and motion sensor |
US20160144172A1 (en) * | 2011-08-26 | 2016-05-26 | National Yunlin University Of Science And Technolo | Feedback-Control Wearable Upper-Limb Electrical Stimulation Device |
WO2017208167A1 (en) * | 2016-05-31 | 2017-12-07 | Lab Schöpfergeist Ag | Nerve stimulation apparatus and method |
Family Cites Families (241)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4055168A (en) | 1976-09-21 | 1977-10-25 | The Rockefeller University | Posture training device |
IL78244A0 (en) | 1986-03-24 | 1986-07-31 | Zvi Kamil | Instrumentation amplifier arrangement |
US5625577A (en) | 1990-12-25 | 1997-04-29 | Shukyohojin, Kongo Zen Sohonzan Shorinji | Computer-implemented motion analysis method using dynamics |
JP3103427B2 (en) | 1992-04-01 | 2000-10-30 | ダイヤメディカルシステム株式会社 | Bioelectricity detector |
AU3954997A (en) | 1996-08-14 | 1998-03-06 | Nurakhmed Nurislamovich Latypov | Method for following and imaging a subject's three-dimensional position and orientation, method for presenting a virtual space to a subject, and systems for implementing said methods |
US6009210A (en) | 1997-03-05 | 1999-12-28 | Digital Equipment Corporation | Hands-free interface to a virtual reality environment using head tracking |
US6658287B1 (en) | 1998-08-24 | 2003-12-02 | Georgia Tech Research Corporation | Method and apparatus for predicting the onset of seizures based on features derived from signals indicative of brain activity |
US6745062B1 (en) * | 1998-10-05 | 2004-06-01 | Advanced Imaging Systems, Inc. | Emg electrode apparatus and positioning system |
US6244873B1 (en) | 1998-10-16 | 2001-06-12 | At&T Corp. | Wireless myoelectric control apparatus and methods |
US6774885B1 (en) | 1999-01-20 | 2004-08-10 | Motek B.V. | System for dynamic registration, evaluation, and correction of functional human behavior |
US6411843B1 (en) | 1999-05-28 | 2002-06-25 | Respironics, Inc. | Method and apparatus for producing a model EMG signal from a measured EMG signal |
US6720984B1 (en) | 2000-06-13 | 2004-04-13 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Characterization of bioelectric potentials |
US20030184544A1 (en) | 2000-07-24 | 2003-10-02 | Prudent Jean Nicholson | Modeling human beings by symbol manipulation |
AU2002230578A1 (en) | 2000-10-30 | 2002-05-15 | Naval Postgraduate School | Method and apparatus for motion tracking of an articulated rigid body |
AU2003217253A1 (en) | 2002-01-25 | 2003-09-02 | Intellipatch, Inc. | Evaluation of a patient and prediction of chronic symptoms |
JP2003255993A (en) | 2002-03-04 | 2003-09-10 | Ntt Docomo Inc | Speech recognition system, speech recognition method, speech recognition program, speech synthesis system, speech synthesis method, speech synthesis program |
US6942621B2 (en) | 2002-07-11 | 2005-09-13 | Ge Medical Systems Information Technologies, Inc. | Method and apparatus for detecting weak physiological signals |
WO2004023996A1 (en) | 2002-09-11 | 2004-03-25 | National Institute Of Information And Communications Technology Incorporated Administrative Agency | Active muscle display device |
EP2008581B1 (en) | 2003-08-18 | 2011-08-17 | Cardiac Pacemakers, Inc. | Patient monitoring, diagnosis, and/or therapy systems and methods |
JP4178186B2 (en) | 2003-08-21 | 2008-11-12 | 国立大学法人 筑波大学 | Wearable motion assist device, control method for wearable motion assist device, and control program |
CN1838933B (en) | 2003-08-21 | 2010-12-08 | 国立大学法人筑波大学 | Wearable motion assist device, control method of wearable motion assist device, and control program |
US7565295B1 (en) | 2003-08-28 | 2009-07-21 | The George Washington University | Method and apparatus for translating hand gestures |
US7574253B2 (en) | 2003-09-26 | 2009-08-11 | Northwestern University | Signal processing using non-linear regression with a sinusoidal model |
US7961909B2 (en) | 2006-03-08 | 2011-06-14 | Electronic Scripting Products, Inc. | Computer interface employing a manipulated object with absolute pose detection component and a display |
EP1782733B1 (en) | 2004-06-16 | 2019-03-13 | The University of Tokyo | Muscular strength acquiring method and device based on musculoskeletal model |
US20060206167A1 (en) | 2005-01-06 | 2006-09-14 | Flaherty J C | Multi-device patient ambulation system |
WO2006105094A2 (en) | 2005-03-29 | 2006-10-05 | Duke University | Sensor system for identifying and tracking movements of multiple sources |
US7428516B2 (en) | 2005-06-23 | 2008-09-23 | Microsoft Corporation | Handwriting recognition using neural networks |
US8190249B1 (en) | 2005-08-01 | 2012-05-29 | Infinite Biomedical Technologies, Llc | Multi-parametric quantitative analysis of bioelectrical signals |
US7725147B2 (en) | 2005-09-29 | 2010-05-25 | Nellcor Puritan Bennett Llc | System and method for removing artifacts from waveforms |
US8280503B2 (en) | 2008-10-27 | 2012-10-02 | Michael Linderman | EMG measured during controlled hand movement for biometric analysis, medical diagnosis and related analysis |
JP4826459B2 (en) | 2006-01-12 | 2011-11-30 | 株式会社豊田中央研究所 | Musculoskeletal model creation method, human stress / strain estimation method, program, and recording medium |
US8762733B2 (en) | 2006-01-30 | 2014-06-24 | Adidas Ag | System and method for identity confirmation using physiologic biometrics to determine a physiologic fingerprint |
US7580742B2 (en) | 2006-02-07 | 2009-08-25 | Microsoft Corporation | Using electroencephalograph signals for task classification and activity recognition |
US7827000B2 (en) | 2006-03-03 | 2010-11-02 | Garmin Switzerland Gmbh | Method and apparatus for estimating a motion parameter |
US8311623B2 (en) | 2006-04-15 | 2012-11-13 | The Board Of Trustees Of The Leland Stanford Junior University | Systems and methods for estimating surface electromyography |
WO2008054511A2 (en) | 2006-04-21 | 2008-05-08 | Quantum Applied Science & Research, Inc. | System for measuring electric signals |
WO2007137047A2 (en) | 2006-05-16 | 2007-11-29 | Greer Douglas S | Modeling the neocortex |
US7661068B2 (en) | 2006-06-12 | 2010-02-09 | Microsoft Corporation | Extended eraser functions |
US9405372B2 (en) | 2006-07-14 | 2016-08-02 | Ailive, Inc. | Self-contained inertial navigation system for interactive control using movable controllers |
US7848797B2 (en) | 2006-08-17 | 2010-12-07 | Neurometrix, Inc. | Motor unit number estimation (MUNE) for the assessment of neuromuscular function |
US8437844B2 (en) | 2006-08-21 | 2013-05-07 | Holland Bloorview Kids Rehabilitation Hospital | Method, system and apparatus for real-time classification of muscle signals from self-selected intentional movements |
JP4267648B2 (en) | 2006-08-25 | 2009-05-27 | 株式会社東芝 | Interface device and method thereof |
US7885732B2 (en) | 2006-10-25 | 2011-02-08 | The Boeing Company | Systems and methods for haptics-enabled teleoperation of vehicles and other devices |
US20080221487A1 (en) | 2007-03-07 | 2008-09-11 | Motek Bv | Method for real time interactive visualization of muscle forces and joint torques in the human body |
ATE513508T1 (en) | 2007-04-24 | 2011-07-15 | Koninkl Philips Electronics Nv | SENSOR ARRANGEMENT AND METHOD FOR MONITORING PHYSIOLOGICAL PARAMETERS |
FR2916069B1 (en) | 2007-05-11 | 2009-07-31 | Commissariat Energie Atomique | PROCESSING METHOD FOR MOTION CAPTURE OF ARTICULATED STRUCTURE |
DE102007044555A1 (en) | 2007-07-18 | 2009-01-22 | Siemens Ag | Optical coupling device and method for its production |
US8726194B2 (en) | 2007-07-27 | 2014-05-13 | Qualcomm Incorporated | Item selection using enhanced control |
US8325214B2 (en) | 2007-09-24 | 2012-12-04 | Qualcomm Incorporated | Enhanced interface for voice and video communications |
US20090082692A1 (en) | 2007-09-25 | 2009-03-26 | Hale Kelly S | System And Method For The Real-Time Evaluation Of Time-Locked Physiological Measures |
US7714757B2 (en) | 2007-09-26 | 2010-05-11 | Medtronic, Inc. | Chopper-stabilized analog-to-digital converter |
US8343079B2 (en) | 2007-10-18 | 2013-01-01 | Innovative Surgical Solutions, Llc | Neural monitoring sensor |
FI20075798A0 (en) | 2007-11-12 | 2007-11-12 | Polar Electro Oy | The electrode structure |
GB0800144D0 (en) * | 2008-01-04 | 2008-02-13 | Fitzpatrick Adam P | Electrocardiographic device and method |
US9597015B2 (en) | 2008-02-12 | 2017-03-21 | Portland State University | Joint angle tracking with inertial sensors |
US20100030532A1 (en) | 2008-06-12 | 2010-02-04 | Jasbir Arora | System and methods for digital human model prediction and simulation |
US8170656B2 (en) | 2008-06-26 | 2012-05-01 | Microsoft Corporation | Wearable electromyography-based controllers for human-computer interface |
US8447704B2 (en) | 2008-06-26 | 2013-05-21 | Microsoft Corporation | Recognizing gestures from forearm EMG signals |
US9037530B2 (en) | 2008-06-26 | 2015-05-19 | Microsoft Technology Licensing, Llc | Wearable electromyography-based human-computer interface |
US8444564B2 (en) | 2009-02-02 | 2013-05-21 | Jointvue, Llc | Noninvasive diagnostic system |
WO2010129922A2 (en) | 2009-05-07 | 2010-11-11 | Massachusetts Eye & Ear Infirmary | Signal processing in physiological noise |
US8376968B2 (en) | 2009-05-15 | 2013-02-19 | The Hong Kong Polytechnic University | Method and system for quantifying an intention of movement of a user |
US20100315266A1 (en) | 2009-06-15 | 2010-12-16 | Microsoft Corporation | Predictive interfaces with usability constraints |
JP5662443B2 (en) | 2009-07-30 | 2015-01-28 | ユニバーシティ・オブ・ケープ・タウンUniversity Of Cape Town | Non-invasive deep muscle electromyography |
US8718980B2 (en) | 2009-09-11 | 2014-05-06 | Qualcomm Incorporated | Method and apparatus for artifacts mitigation with multiple wireless sensors |
US20110077484A1 (en) | 2009-09-30 | 2011-03-31 | Nellcor Puritan Bennett Ireland | Systems And Methods For Identifying Non-Corrupted Signal Segments For Use In Determining Physiological Parameters |
TWI496558B (en) | 2009-10-20 | 2015-08-21 | Tatung Co | System and method for measuring electrocardiogram and respiratory signal using two-pole electrode patch |
US8421634B2 (en) | 2009-12-04 | 2013-04-16 | Microsoft Corporation | Sensing mechanical energy to appropriate the body for data input |
US20120283526A1 (en) | 2009-12-16 | 2012-11-08 | Ictalcare A/S | Method and a System for the Prediction of Epileptic Seizures |
US9268404B2 (en) | 2010-01-08 | 2016-02-23 | Microsoft Technology Licensing, Llc | Application gesture interpretation |
US8631355B2 (en) | 2010-01-08 | 2014-01-14 | Microsoft Corporation | Assigning gesture dictionaries |
JP5471490B2 (en) | 2010-01-20 | 2014-04-16 | オムロンヘルスケア株式会社 | Body motion detection device |
EP2548153A1 (en) | 2010-03-16 | 2013-01-23 | Carlo Trugenberger | Authentication system, method for authenticating an object, apparatus for producing an identication device, method for producing an identification device |
US8351651B2 (en) | 2010-04-26 | 2013-01-08 | Microsoft Corporation | Hand-location post-process refinement in a tracking system |
US8754862B2 (en) | 2010-07-11 | 2014-06-17 | Lester F. Ludwig | Sequential classification recognition of gesture primitives and window-based parameter smoothing for high dimensional touchpad (HDTP) user interfaces |
FR2962821B1 (en) | 2010-07-13 | 2013-02-22 | Commissariat Energie Atomique | METHOD AND SYSTEM FOR CLASSIFYING NEURAL SIGNALS, AND METHOD FOR SELECTING ELECTRODES FOR DIRECT NEURONAL CONTROL. |
KR101840312B1 (en) | 2010-08-02 | 2018-03-20 | 더 존스 홉킨스 유니버시티 | Method for presenting force sensor information using cooperative robot control and audio feedback |
US20120066163A1 (en) | 2010-09-13 | 2012-03-15 | Nottingham Trent University | Time to event data analysis method and system |
US20130123656A1 (en) | 2010-11-15 | 2013-05-16 | Sandy L. Heck | Control System and Apparatus Utilizing Signals Originating in the Periauricular Neuromuscular System |
WO2012175785A1 (en) | 2011-06-20 | 2012-12-27 | Nokia Corporation | Methods, apparatuses and computer program products for performing accurate pose estimation of objects |
US9128521B2 (en) | 2011-07-13 | 2015-09-08 | Lumo Bodytech, Inc. | System and method of biomechanical posture detection and feedback including sensor normalization |
US20140361988A1 (en) | 2011-09-19 | 2014-12-11 | Eyesight Mobile Technologies Ltd. | Touch Free Interface for Augmented Reality Systems |
US20130077820A1 (en) | 2011-09-26 | 2013-03-28 | Microsoft Corporation | Machine learning gesture detection |
FR2981561B1 (en) | 2011-10-21 | 2015-03-20 | Commissariat Energie Atomique | METHOD FOR DETECTING MOTION SENSOR ACTIVITY, CORRESPONDING DEVICE AND COMPUTER PROGRAM |
ITTO20111024A1 (en) | 2011-11-08 | 2013-05-09 | Bitron Spa | MEASUREMENT DEVICE FOR HIGH-RESOLUTION ELECTROMYOGRAPHIC SIGNALS AND HIGH NUMBER OF CHANNELS. |
US10176299B2 (en) | 2011-11-11 | 2019-01-08 | Rutgers, The State University Of New Jersey | Methods for the diagnosis and treatment of neurological disorders |
US10430066B2 (en) | 2011-12-06 | 2019-10-01 | Nri R&D Patent Licensing, Llc | Gesteme (gesture primitive) recognition for advanced touch user interfaces |
JP2013206273A (en) | 2012-03-29 | 2013-10-07 | Sony Corp | Information processing apparatus, information processing method, and information processing system |
US10130298B2 (en) | 2012-04-03 | 2018-11-20 | Carnegie Mellon University | Musculoskeletal activity recognition system and method |
US9278453B2 (en) | 2012-05-25 | 2016-03-08 | California Institute Of Technology | Biosleeve human-machine interface |
US9867548B2 (en) | 2012-05-25 | 2018-01-16 | Emotiv, Inc. | System and method for providing and aggregating biosignals and action data |
US20150366504A1 (en) | 2014-06-20 | 2015-12-24 | Medibotics Llc | Electromyographic Clothing |
US9582072B2 (en) | 2013-09-17 | 2017-02-28 | Medibotics Llc | Motion recognition clothing [TM] with flexible electromagnetic, light, or sonic energy pathways |
US9814426B2 (en) | 2012-06-14 | 2017-11-14 | Medibotics Llc | Mobile wearable electromagnetic brain activity monitor |
US9891718B2 (en) | 2015-04-22 | 2018-02-13 | Medibotics Llc | Devices for measuring finger motion and recognizing hand gestures |
US10921886B2 (en) | 2012-06-14 | 2021-02-16 | Medibotics Llc | Circumferential array of electromyographic (EMG) sensors |
US8484022B1 (en) | 2012-07-27 | 2013-07-09 | Google Inc. | Adaptive auto-encoders |
US20150182165A1 (en) * | 2012-08-03 | 2015-07-02 | Neurotopia, Inc. | Neurophysiological training headset |
US10234941B2 (en) | 2012-10-04 | 2019-03-19 | Microsoft Technology Licensing, Llc | Wearable sensor for tracking articulated body-parts |
US9351653B1 (en) | 2012-11-29 | 2016-05-31 | Intan Technologies, LLC | Multi-channel reconfigurable systems and methods for sensing biopotential signals |
US10009644B2 (en) | 2012-12-04 | 2018-06-26 | Interaxon Inc | System and method for enhancing content using brain-state data |
US20140196131A1 (en) | 2013-01-07 | 2014-07-10 | Salutron, Inc. | User authentication based on a wrist vein pattern |
US10528135B2 (en) | 2013-01-14 | 2020-01-07 | Ctrl-Labs Corporation | Wearable muscle interface systems, devices and methods that interact with content displayed on an electronic display |
US9459697B2 (en) | 2013-01-15 | 2016-10-04 | Leap Motion, Inc. | Dynamic, free-space user interactions for machine control |
CN105190578A (en) | 2013-02-22 | 2015-12-23 | 赛尔米克实验室公司 | Methods and devices that combine muscle activity sensor signals and inertial sensor signals for gesture-based control |
US20140245200A1 (en) | 2013-02-25 | 2014-08-28 | Leap Motion, Inc. | Display control with gesture-selectable control paradigms |
US20140249397A1 (en) | 2013-03-01 | 2014-09-04 | Thalmic Labs Inc. | Differential non-contact biopotential sensor |
US9436287B2 (en) | 2013-03-15 | 2016-09-06 | Qualcomm Incorporated | Systems and methods for switching processing modes using gestures |
US9766709B2 (en) | 2013-03-15 | 2017-09-19 | Leap Motion, Inc. | Dynamic user interactions for display control |
US20140277622A1 (en) | 2013-03-15 | 2014-09-18 | First Principles, Inc. | System and method for bio-signal control of an electronic device |
US9361411B2 (en) | 2013-03-15 | 2016-06-07 | Honeywell International, Inc. | System and method for selecting a respirator |
IN2013MU01148A (en) | 2013-03-26 | 2015-04-24 | Tata Consultancy Services Ltd | |
US10620709B2 (en) | 2013-04-05 | 2020-04-14 | Ultrahaptics IP Two Limited | Customized gesture interpretation |
US9717440B2 (en) | 2013-05-03 | 2017-08-01 | The Florida International University Board Of Trustees | Systems and methods for decoding intended motor commands from recorded neural signals for the control of external devices or to interact in virtual environments |
US10152082B2 (en) | 2013-05-13 | 2018-12-11 | North Inc. | Systems, articles and methods for wearable electronic devices that accommodate different user forms |
US10314506B2 (en) | 2013-05-15 | 2019-06-11 | Polar Electro Oy | Heart activity sensor structure |
US10620775B2 (en) | 2013-05-17 | 2020-04-14 | Ultrahaptics IP Two Limited | Dynamic interactive objects |
US9218574B2 (en) | 2013-05-29 | 2015-12-22 | Purepredictive, Inc. | User interface for machine learning |
US10843332B2 (en) | 2013-05-31 | 2020-11-24 | President And Fellow Of Harvard College | Soft exosuit for assistance with human motion |
US9383819B2 (en) | 2013-06-03 | 2016-07-05 | Daqri, Llc | Manipulation of virtual object in augmented reality via intent |
KR101933921B1 (en) | 2013-06-03 | 2018-12-31 | 삼성전자주식회사 | Method and apparatus for estimating pose |
WO2014197443A1 (en) | 2013-06-03 | 2014-12-11 | Kacyvenski Isaiah | Motion sensor and analysis |
US11083402B2 (en) | 2013-06-04 | 2021-08-10 | Medtronic, Inc. | Patient state determination based on one or more spectral characteristics of a bioelectrical brain signal |
KR101501661B1 (en) | 2013-06-10 | 2015-03-12 | 한국과학기술연구원 | Wearable electromyogram sensor system |
WO2014204330A1 (en) | 2013-06-17 | 2014-12-24 | 3Divi Company | Methods and systems for determining 6dof location and orientation of head-mounted display and associated user movements |
US20140376773A1 (en) | 2013-06-21 | 2014-12-25 | Leap Motion, Inc. | Tunable operational parameters in motion-capture and touchless interface operation |
US10402517B2 (en) | 2013-06-26 | 2019-09-03 | Dassault Systémes Simulia Corp. | Musculo-skeletal modeling using finite element analysis, process integration, and design optimization |
US9408316B2 (en) * | 2013-07-22 | 2016-08-02 | Thalmic Labs Inc. | Systems, articles and methods for strain mitigation in wearable electronic devices |
US20150029092A1 (en) | 2013-07-23 | 2015-01-29 | Leap Motion, Inc. | Systems and methods of interpreting complex gestures |
US11426123B2 (en) | 2013-08-16 | 2022-08-30 | Meta Platforms Technologies, Llc | Systems, articles and methods for signal routing in wearable electronic devices that detect muscle activity of a user using a set of discrete and separately enclosed pod structures |
US20150124566A1 (en) | 2013-10-04 | 2015-05-07 | Thalmic Labs Inc. | Systems, articles and methods for wearable electronic devices employing contact sensors |
US10188309B2 (en) | 2013-11-27 | 2019-01-29 | North Inc. | Systems, articles, and methods for electromyography sensors |
US10042422B2 (en) | 2013-11-12 | 2018-08-07 | Thalmic Labs Inc. | Systems, articles, and methods for capacitive electromyography sensors |
WO2015027089A1 (en) | 2013-08-23 | 2015-02-26 | Thalmic Labs Inc. | Systems, articles, and methods for human-electronics interfaces |
US9788789B2 (en) | 2013-08-30 | 2017-10-17 | Thalmic Labs Inc. | Systems, articles, and methods for stretchable printed circuit boards |
US9372535B2 (en) | 2013-09-06 | 2016-06-21 | Thalmic Labs Inc. | Systems, articles, and methods for electromyography-based human-electronics interfaces |
US9483123B2 (en) | 2013-09-23 | 2016-11-01 | Thalmic Labs Inc. | Systems, articles, and methods for gesture identification in wearable electromyography devices |
CN109875501B (en) | 2013-09-25 | 2022-06-07 | 曼德美姿集团股份公司 | Physiological parameter measurement and feedback system |
US9389694B2 (en) | 2013-10-22 | 2016-07-12 | Thalmic Labs Inc. | Systems, articles, and methods for gesture identification in wearable electromyography devices |
GB2519987B (en) | 2013-11-04 | 2021-03-03 | Imperial College Innovations Ltd | Biomechanical activity monitoring |
US9594433B2 (en) | 2013-11-05 | 2017-03-14 | At&T Intellectual Property I, L.P. | Gesture-based controls via bone conduction |
EP3068349A4 (en) | 2013-11-13 | 2017-12-13 | Hrl Laboratories, Llc | System for controlling brain machine interfaces and neural prosthetic systems |
US20150157944A1 (en) | 2013-12-06 | 2015-06-11 | Glenn I. Gottlieb | Software Application for Generating a Virtual Simulation for a Sport-Related Activity |
US9367139B2 (en) | 2013-12-12 | 2016-06-14 | Thalmic Labs Inc. | Systems, articles, and methods for gesture identification in wearable electromyography devices |
US9659403B1 (en) | 2014-01-06 | 2017-05-23 | Leap Motion, Inc. | Initializing orientation in space for predictive information for free space gesture control and communication |
US9600925B2 (en) | 2014-01-06 | 2017-03-21 | Oculus Vr, Llc | Calibration of multiple rigid bodies in a virtual reality system |
US9613262B2 (en) | 2014-01-15 | 2017-04-04 | Leap Motion, Inc. | Object detection and tracking for providing a virtual device experience |
US9600030B2 (en) | 2014-02-14 | 2017-03-21 | Thalmic Labs Inc. | Systems, articles, and methods for elastic electrical cables and wearable electronic devices employing same |
JP2017508229A (en) | 2014-02-28 | 2017-03-23 | グプタ ヴィカスGUPTA, Vikas | Wrist-mounted camera system operated by gestures |
US10613642B2 (en) | 2014-03-12 | 2020-04-07 | Microsoft Technology Licensing, Llc | Gesture parameter tuning |
US20150261306A1 (en) | 2014-03-17 | 2015-09-17 | Thalmic Labs Inc. | Systems, devices, and methods for selecting between multiple wireless connections |
US10199008B2 (en) | 2014-03-27 | 2019-02-05 | North Inc. | Systems, devices, and methods for wearable electronic devices as state machines |
US10409382B2 (en) | 2014-04-03 | 2019-09-10 | Honda Motor Co., Ltd. | Smart tutorial for gesture control system |
US20150296553A1 (en) | 2014-04-11 | 2015-10-15 | Thalmic Labs Inc. | Systems, devices, and methods that establish proximity-based wireless connections |
US9858391B2 (en) | 2014-04-17 | 2018-01-02 | The Boeing Company | Method and system for tuning a musculoskeletal model |
US20170080346A1 (en) | 2014-05-01 | 2017-03-23 | Mohamad Abbas | Methods and systems relating to personalized evolving avatars |
US20150325202A1 (en) | 2014-05-07 | 2015-11-12 | Thalmic Labs Inc. | Systems, devices, and methods for wearable computers with heads-up displays |
US9785247B1 (en) | 2014-05-14 | 2017-10-10 | Leap Motion, Inc. | Systems and methods of tracking moving hands and recognizing gestural interactions |
USD756359S1 (en) | 2014-05-15 | 2016-05-17 | Thalmic Labs Inc. | Expandable armband device |
KR101666399B1 (en) | 2014-05-15 | 2016-10-14 | 한국과학기술연구원 | Human joint kinematics information extraction method from multi-channel surface electromyogram signals, recording medium and device for performing the method |
USD717685S1 (en) | 2014-05-15 | 2014-11-18 | Thalmic Labs Inc. | Expandable armband |
US9741169B1 (en) | 2014-05-20 | 2017-08-22 | Leap Motion, Inc. | Wearable augmented reality devices with object detection and tracking |
US10782657B2 (en) | 2014-05-27 | 2020-09-22 | Ultrahaptics IP Two Limited | Systems and methods of gestural interaction in a pervasive computing environment |
US9880632B2 (en) | 2014-06-19 | 2018-01-30 | Thalmic Labs Inc. | Systems, devices, and methods for gesture identification |
US10216274B2 (en) | 2014-06-23 | 2019-02-26 | North Inc. | Systems, articles, and methods for wearable human-electronics interface devices |
WO2015199747A1 (en) | 2014-06-23 | 2015-12-30 | Thalmic Labs Inc. | Systems, articles, and methods for wearable human-electronics interface devices |
US9552069B2 (en) | 2014-07-11 | 2017-01-24 | Microsoft Technology Licensing, Llc | 3D gesture recognition |
US9734704B2 (en) | 2014-08-12 | 2017-08-15 | Dominick S. LEE | Wireless gauntlet for electronic control |
WO2016041088A1 (en) | 2014-09-19 | 2016-03-24 | Sulon Technologies Inc. | System and method for tracking wearable peripherals in augmented reality and virtual reality applications |
US9811555B2 (en) | 2014-09-27 | 2017-11-07 | Intel Corporation | Recognition of free-form gestures from orientation tracking of a handheld or wearable device |
JP6415592B2 (en) | 2014-11-12 | 2018-10-31 | 京セラ株式会社 | Wearable device |
US9612661B2 (en) | 2015-01-02 | 2017-04-04 | Wearable Devices Ltd. | Closed loop feedback interface for wearable devices |
US9720515B2 (en) | 2015-01-02 | 2017-08-01 | Wearable Devices Ltd. | Method and apparatus for a gesture controlled interface for wearable devices |
US9696795B2 (en) | 2015-02-13 | 2017-07-04 | Leap Motion, Inc. | Systems and methods of creating a realistic grab experience in virtual reality/augmented reality environments |
US20160274758A1 (en) | 2015-03-20 | 2016-09-22 | Thalmic Labs Inc. | Systems, devices, and methods for mitigating false positives in human-electronics interfaces |
US10432842B2 (en) | 2015-04-06 | 2019-10-01 | The Texas A&M University System | Fusion of inertial and depth sensors for movement measurements and recognition |
WO2016168117A2 (en) | 2015-04-14 | 2016-10-20 | John James Daniels | Wearable electric, multi-sensory, human/machine, human/human interfaces |
US9804733B2 (en) | 2015-04-21 | 2017-10-31 | Dell Products L.P. | Dynamic cursor focus in a multi-display information handling system environment |
US10078435B2 (en) | 2015-04-24 | 2018-09-18 | Thalmic Labs Inc. | Systems, methods, and computer program products for interacting with electronically displayed presentation materials |
GB2537899B (en) | 2015-04-30 | 2018-02-21 | Hy5Pro As | Control of digits for artificial hand |
US9654477B1 (en) | 2015-05-05 | 2017-05-16 | Wells Fargo Bank, N. A. | Adaptive authentication |
US9898864B2 (en) | 2015-05-28 | 2018-02-20 | Microsoft Technology Licensing, Llc | Shared tactile interaction and user safety in shared space multi-person immersive virtual reality |
EP4134125B1 (en) | 2015-06-02 | 2024-11-27 | Battelle Memorial Institute | Neural sleeve for neuromuscular stimulation, sensing and recording |
EP3556429B1 (en) | 2015-06-02 | 2021-10-13 | Battelle Memorial Institute | Non-invasive motor impairment rehabilitation system |
AU2016270928B2 (en) | 2015-06-02 | 2020-08-27 | Battelle Memorial Institute | Systems for neural bridging of the nervous system |
WO2016210441A1 (en) | 2015-06-26 | 2016-12-29 | Carnegie Mellon University | System for wearable, low-cost electrical impedance tomography for non-invasive gesture recognition |
US9240069B1 (en) | 2015-06-30 | 2016-01-19 | Ariadne's Thread (Usa), Inc. | Low-latency virtual reality display system |
CN108140360B (en) | 2015-07-29 | 2020-12-04 | 森赛尔股份有限公司 | System and method for manipulating a virtual environment |
KR101626748B1 (en) | 2015-08-03 | 2016-06-14 | 숭실대학교산학협력단 | Apparatus for measuring movement pattern using brainwave and electromyogram and Method thereof |
US10854104B2 (en) | 2015-08-28 | 2020-12-01 | Icuemotion Llc | System for movement skill analysis and skill augmentation and cueing |
US10387034B2 (en) | 2015-09-03 | 2019-08-20 | Microsoft Technology Licensing, Llc | Modifying captured stroke information into an actionable form |
US9824287B2 (en) | 2015-09-29 | 2017-11-21 | Huami Inc. | Method, apparatus and system for biometric identification |
US10459537B2 (en) | 2015-09-30 | 2019-10-29 | Stmicroelectronics, Inc. | Encapsulated pressure sensor |
US11389083B2 (en) | 2015-10-06 | 2022-07-19 | University of Pittsburgh—of the Commonwealth System of Higher Education | Method, device and system for sensing neuromuscular, physiological, biomechanical, and musculoskeletal activity |
US9881273B2 (en) | 2015-10-28 | 2018-01-30 | Disney Interprises, Inc. | Automatic object detection and state estimation via electronic emissions sensing |
US10595941B2 (en) | 2015-10-30 | 2020-03-24 | Orthosensor Inc. | Spine measurement system and method therefor |
US11106273B2 (en) | 2015-10-30 | 2021-08-31 | Ostendo Technologies, Inc. | System and methods for on-body gestural interfaces and projection displays |
US10776712B2 (en) | 2015-12-02 | 2020-09-15 | Preferred Networks, Inc. | Generative machine learning systems for drug design |
CN105511615B (en) | 2015-12-04 | 2019-03-05 | 深圳大学 | Wearable text input system and method based on EMG |
US20170188980A1 (en) | 2016-01-06 | 2017-07-06 | Empire Technology Development Llc | Wearable sensor based body modeling |
WO2017120669A1 (en) | 2016-01-12 | 2017-07-20 | Bigmotion Technologies Inc. | Systems and methods for human body motion capture |
US20170259167A1 (en) | 2016-03-14 | 2017-09-14 | Nathan Sterling Cook | Brainwave virtual reality apparatus and method |
US9864434B2 (en) | 2016-03-30 | 2018-01-09 | Huami Inc. | Gesture control of interactive events using multiple wearable devices |
US10503253B2 (en) | 2016-03-31 | 2019-12-10 | Intel Corporation | Sensor signal processing to determine finger and/or hand position |
JP6728386B2 (en) | 2016-03-31 | 2020-07-22 | センセル インコーポレイテッドSensel,Inc. | Human computer interface system |
US10852835B2 (en) | 2016-04-15 | 2020-12-01 | Board Of Regents, The University Of Texas System | Systems, apparatuses and methods for controlling prosthetic devices by gestures and other modalities |
JP6716715B2 (en) | 2016-04-19 | 2020-07-01 | スカイワークス ソリューションズ, インコーポレイテッドSkyworks Solutions, Inc. | Packaged radio frequency module, system board assembly, wireless communication device, front end module, and method of selectively shielding a radio frequency module |
US10203751B2 (en) | 2016-05-11 | 2019-02-12 | Microsoft Technology Licensing, Llc | Continuous motion controls operable using neurological data |
US9864431B2 (en) | 2016-05-11 | 2018-01-09 | Microsoft Technology Licensing, Llc | Changing an application state using neurological data |
US10426371B2 (en) | 2016-06-07 | 2019-10-01 | Smk Corporation | Muscle condition measurement sheet |
KR101790147B1 (en) | 2016-06-22 | 2017-10-25 | 재단법인 실감교류인체감응솔루션연구단 | Virtual object control system and method |
CN109640820A (en) | 2016-07-01 | 2019-04-16 | 立芙公司 | The living things feature recognition carried out by the clothes with multiple sensors |
WO2018022658A1 (en) | 2016-07-25 | 2018-02-01 | Ctrl-Labs Corporation | Adaptive system for deriving control signals from measurements of neuromuscular activity |
WO2018022602A1 (en) | 2016-07-25 | 2018-02-01 | Ctrl-Labs Corporation | Methods and apparatus for predicting musculo-skeletal position information using wearable autonomous sensors |
US11337652B2 (en) | 2016-07-25 | 2022-05-24 | Facebook Technologies, Llc | System and method for measuring the movements of articulated rigid bodies |
EP3487402B1 (en) | 2016-07-25 | 2021-05-05 | Facebook Technologies, LLC | Methods and apparatus for inferring user intent based on neuromuscular signals |
US10765363B2 (en) * | 2016-09-30 | 2020-09-08 | Cognionics, Inc. | Headgear for dry electroencephalogram sensors |
US10162422B2 (en) | 2016-10-10 | 2018-12-25 | Deere & Company | Control of machines through detection of gestures by optical and muscle sensors |
KR102302640B1 (en) | 2016-12-02 | 2021-09-15 | 피손 테크놀로지, 인크. | Detecting and using body tissue electrical signals |
US10646139B2 (en) | 2016-12-05 | 2020-05-12 | Intel Corporation | Body movement tracking |
US20190025919A1 (en) | 2017-01-19 | 2019-01-24 | Mindmaze Holding Sa | System, method and apparatus for detecting facial expression in an augmented reality system |
EP3609402A4 (en) | 2017-04-14 | 2020-12-16 | Rehabilitation Institute Of Chicago D/B/A Shirley | PROSTHETIC TRAINING INTERFACE OF VIRTUAL REALITY AND THE RELATED PROCEDURES |
US11259746B2 (en) | 2017-07-10 | 2022-03-01 | General Electric Company | Method and system for neuromuscular transmission measurement |
US10481699B2 (en) | 2017-07-27 | 2019-11-19 | Facebook Technologies, Llc | Armband for tracking hand motion using electrical impedance measurement |
US20190076716A1 (en) | 2017-09-12 | 2019-03-14 | Intel Corporation | Activity training system |
CN112040858B (en) | 2017-10-19 | 2024-06-07 | 元平台技术有限公司 | Systems and methods for identifying biological structures associated with neuromuscular source signals |
US10606620B2 (en) | 2017-11-16 | 2020-03-31 | International Business Machines Corporation | Notification interaction in a touchscreen user interface |
US20190150777A1 (en) | 2017-11-17 | 2019-05-23 | Ctrl-Labs Corporation | Dual-supply analog circuitry for sensing surface emg signals |
US10827942B2 (en) | 2018-01-03 | 2020-11-10 | Intel Corporation | Detecting fatigue based on electroencephalogram (EEG) data |
WO2019147958A1 (en) | 2018-01-25 | 2019-08-01 | Ctrl-Labs Corporation | User-controlled tuning of handstate representation model parameters |
CN111902077B (en) | 2018-01-25 | 2023-08-04 | 元平台技术有限公司 | Calibration technique for hand state representation modeling using neuromuscular signals |
EP3743790A4 (en) | 2018-01-25 | 2021-03-17 | Facebook Technologies, Inc. | Handstate reconstruction based on multiple inputs |
WO2019148002A1 (en) | 2018-01-25 | 2019-08-01 | Ctrl-Labs Corporation | Techniques for anonymizing neuromuscular signal data |
CN112074870A (en) | 2018-01-25 | 2020-12-11 | 脸谱科技有限责任公司 | Visualization of reconstructed hand state information |
CN112074225A (en) | 2018-01-25 | 2020-12-11 | 脸谱科技有限责任公司 | Method and apparatus for reducing neuromuscular signaling artifacts |
US10460455B2 (en) | 2018-01-25 | 2019-10-29 | Ctrl-Labs Corporation | Real-time processing of handstate representation model estimates |
US20190247650A1 (en) | 2018-02-14 | 2019-08-15 | Bao Tran | Systems and methods for augmenting human muscle controls |
US20190324549A1 (en) | 2018-04-20 | 2019-10-24 | Immersion Corporation | Systems, devices, and methods for providing immersive reality interface modes |
US10861242B2 (en) | 2018-05-22 | 2020-12-08 | Magic Leap, Inc. | Transmodal input fusion for a wearable system |
CN112469469B (en) | 2018-05-25 | 2024-11-12 | 元平台技术有限公司 | Method and apparatus for providing submuscular control |
-
2019
- 2019-07-19 US US16/516,777 patent/US11045137B2/en active Active
- 2019-07-19 WO PCT/US2019/042579 patent/WO2020018892A1/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040092839A1 (en) * | 2002-10-24 | 2004-05-13 | Shin Sang-Hoon | Apparatus and method for measuring local skin impedance using multiple array elecrtodes |
WO2012155157A1 (en) * | 2011-05-06 | 2012-11-15 | Azoteq (Pty) Ltd | Multiple media capacitive sensor |
US20160144172A1 (en) * | 2011-08-26 | 2016-05-26 | National Yunlin University Of Science And Technolo | Feedback-Control Wearable Upper-Limb Electrical Stimulation Device |
CN103777752A (en) * | 2013-11-02 | 2014-05-07 | 上海威璞电子科技有限公司 | Gesture recognition device based on arm muscle current detection and motion sensor |
WO2017208167A1 (en) * | 2016-05-31 | 2017-12-07 | Lab Schöpfergeist Ag | Nerve stimulation apparatus and method |
Also Published As
Publication number | Publication date |
---|---|
US20200022606A1 (en) | 2020-01-23 |
US11045137B2 (en) | 2021-06-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11045137B2 (en) | Methods and apparatus for improved signal robustness for a wearable neuromuscular recording device | |
US8706182B2 (en) | Biosignal detecting electrode and biosignal detecting device equipped therewith | |
JP7033614B2 (en) | Measurement of electrical activity | |
Cömert et al. | Investigating the possible effect of electrode support structure on motion artifact in wearable bioelectric signal monitoring | |
US8626259B2 (en) | Biomedical sensors usable on un-prepared contact surfaces | |
JP7027464B2 (en) | Biological signal detection system | |
Farina et al. | High-density EMG E-textile systems for the control of active prostheses | |
JP2009530064A (en) | Electrode and electrode headset | |
Paul et al. | A versatile in-ear biosensing system and body-area network for unobtrusive continuous health monitoring | |
EP3979905A1 (en) | Method and apparatus for motion dampening for biosignal sensing and influencing | |
Rakhmatulin et al. | Review Dry and Non-contact EEG Electrodes for 2010-2021 years | |
González-Mendoza et al. | Validation of an EMG sensor for Internet of Things and Robotics | |
US20210022641A1 (en) | Wearable multi-modal bio-sensing system | |
Falk et al. | Brain–computer interfaces: recent advances, challenges, and future directions | |
Bisla et al. | Wearable EEG technology for the brain-computer interface | |
US11406311B2 (en) | Pocket-size folding device with integrated electrodes for recording, processing and transmission with three ECG leads | |
US20230240581A1 (en) | System and methods for biosignal detection and active noise cancellation | |
Valderrama et al. | Development of a low-cost surface EMG acquisition system device for wearable applications | |
RU2661756C2 (en) | Brain computer interface device for remote control of exoskeleton | |
Chakraborty et al. | Development of a wireless wearable electrooculogram recorder for IoT based applications | |
Jahan et al. | Classification of EEG signals based on imaginary movement of right and left hand wrist | |
Liao et al. | Human cognitive application by using wearable mobile brain computer interface | |
US20250017506A1 (en) | Arm-worn electrocardiographic device and method for electrocardiographic signal measurement | |
WO2025123155A1 (en) | Support assembly for releasable attachment of a bioelectric electrode | |
Gargiulo et al. | Non-invasive electronic biosensor circuits and systems |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 19837963 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 19837963 Country of ref document: EP Kind code of ref document: A1 |